US20020177779A1 - Method and system for detecting colorimetric abnormalities in vivo - Google Patents
Method and system for detecting colorimetric abnormalities in vivo Download PDFInfo
- Publication number
- US20020177779A1 US20020177779A1 US10/097,096 US9709602A US2002177779A1 US 20020177779 A1 US20020177779 A1 US 20020177779A1 US 9709602 A US9709602 A US 9709602A US 2002177779 A1 US2002177779 A1 US 2002177779A1
- Authority
- US
- United States
- Prior art keywords
- image
- images
- reference value
- capsule
- abnormality
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Abandoned
Links
Images
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B1/00—Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor
- A61B1/04—Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor combined with photographic or television appliances
- A61B1/041—Capsule endoscopes for imaging
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B1/00—Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor
- A61B1/00002—Operational features of endoscopes
- A61B1/00004—Operational features of endoscopes characterised by electronic signal processing
- A61B1/00009—Operational features of endoscopes characterised by electronic signal processing of image signals during a use of endoscope
- A61B1/000094—Operational features of endoscopes characterised by electronic signal processing of image signals during a use of endoscope extracting biological structures
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B1/00—Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor
- A61B1/00002—Operational features of endoscopes
- A61B1/00043—Operational features of endoscopes provided with output arrangements
- A61B1/00045—Display arrangement
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
- A61B5/0031—Implanted circuitry
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0059—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
- A61B5/0075—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence by spectroscopy, i.e. measuring spectra, e.g. Raman spectroscopy, infrared absorption spectroscopy
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0059—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
- A61B5/0082—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence adapted for particular medical purposes
- A61B5/0084—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence adapted for particular medical purposes for introduction into the body, e.g. by catheters
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/02042—Determining blood loss or bleeding, e.g. during a surgical procedure
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/07—Endoradiosondes
- A61B5/073—Intestinal transmitters
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
- A61B5/742—Details of notification to user or communication with user or patient ; user input means using visual displays
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
- A61B5/742—Details of notification to user or communication with user or patient ; user input means using visual displays
- A61B5/743—Displaying an image simultaneously with additional graphical information, e.g. symbols, charts, function plots
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0012—Biomedical image inspection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/90—Determination of colour characteristics
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10024—Color image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10068—Endoscopic image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
- G06T2207/30028—Colon; Small intestine
Definitions
- the present invention relates to a method and system for detection of colorimetric abnormalities in vivo, and specifically within the gastrointestinal (GI) tract.
- GI gastrointestinal
- Pathologies of the gastrointestinal (GI) tract may exist for a variety of reasons. Some examples of pathologies include bleeding, lesions, angiodisplasia, Crohn's disease, polyps, celiac disorders, and others. The majority of pathologies result in changes of color and/or texture of the inner surface of the GI tract.
- color changes may be due to bleeding.
- Blood may be present within the digestive tract for a variety of pathological reasons, including ulcers, cancer, or other disease conditions. It is often difficult to detect the presence of blood within the GI tract, since bleeding can occur in difficult to reach locations. In addition, it is difficult to “see” inside the tract, especially in sections which are hard to reach such as the small intestines.
- a second, more invasive technique has been the use of an endoscope or enteroscope. This approach enables direct visualization of parts of the GI tract. However, most portions of the small intestine are inaccessible by this method.
- pathologies which may be detected based on the red part of the spectrum include active bleeding, blood clots, polyps, lesions, ulcerations, angiodisplasia and telangectasia.
- Pathologies which may be characterized by blue/violet color include arterio-venous malformation (AVM) and submucosal bleeding. AVM may also appear in red.
- AVM arterio-venous malformation
- submucosal bleeding may also appear in red.
- some types of ulcers are characterized by white color.
- a method for detecting colorimetric abnormalities in a body lumen includes the step of calculating a probability indication of a presence of an abnormal color within the body lumen based on comparison of spectral characteristics to at least one reference value.
- a method for calculation of a reference value for tissue includes the steps of receiving at least a first image and a second image from within a body lumen, selecting blocks of pixels within the images based on calorimetric parameters, averaging the colorimetric parameters of the selected blocks of pixels of the first and second images, and filtering the calorimetric parameters, thereby obtaining a reference value for tissue.
- a swallowable capsule for detecting colorimetric abnormalities in a gastrointestinal tract.
- the capsule includes an image-receiver for receiving images from the gastrointestinal tract, and a processor for generating a probability indication for presence of calorimetric abnormalities by comparing color content of the images to at least one reference value.
- an apparatus for determining colorimetric abnormalities within a body lumen includes an image-receiver for receiving images from a body lumen, a spectral analyzer for determining color content of the images, and a processor for generating a probability indication for presence of an abnormal condition by comparing the color content to at least one reference value.
- a system for detection of blood within a body lumen includes a swallowable capsule having an in-vivo imager for obtaining images from within the body lumen, a transmitter for transmitting the images to a receiver, and a processor for generating a probability indication of presence of blood based on comparison of color content of the received images and at least one reference value.
- FIG. 1 is a schematic illustration of a prior art in vivo camera system
- FIG. 2 is a schematic illustration of the classification of samples according to their spectral components
- FIG. 3 is a block diagram illustration of a system according to one embodiment of the present invention.
- FIG. 4 is a flow chart illustration of the method used by the system shown in FIG. 3.
- FIG. 5 is a schematic illustration of adaptive building of a reference tissue sample.
- the present invention relates to a method and system of detection of pathologies by spectral analysis of images captured by a moving in-vivo video camera system. This analysis is based on detection of colorimetric abnormalities, or deviations from an expected spectrum.
- the in-vivo video camera system may be included on an endoscope, a swallowable capsule, or any other device which is introduced into the body to view the interior.
- U.S. Pat. No. 5,604,531 assigned to the common assignee of the present application and incorporated herein by reference, teaches an in vivo camera system, which is carried by a swallowable capsule.
- the in vivo video camera system captures and transmits images of the GI tract while the capsule passes through the GI lumen.
- the capsule contains an optical system for imaging an area of interest onto the camera system and a transmitter for transmitting the video output of the camera.
- the capsule can pass through the entire digestive tract and operate as an autonomous video endoscope. It images even the difficult to reach areas of the small intestine.
- FIG. 1 shows a schematic diagram of the system, described in U.S. Pat. No. 5,604,531.
- the system comprises a capsule 40 having an imager 46 , an illumination source 42 , and a transmitter 41 .
- an image receiver 12 outside the patient's body are an image receiver 12 (usually an antenna array), a storage unit 19 , a data processor 14 , an image monitor 18 , and a position monitor 16 . While FIG. 1 shows separate monitors, both an image and its position can be presented on a single monitor.
- Imager 46 in capsule 40 is connected to transmitter 41 also located in capsule 40 .
- Transmitter 41 transmits images to image receiver 12 , which sends the data to data processor 14 and to storage unit 19 .
- Data processor 14 analyzes the data and is in communication with storage unit 19 , transferring frame data to and from storage unit 19 .
- Data processor 14 also provides the analyzed data to image monitor 18 and position monitor 16 where the physician views the data.
- the image monitor presents an image of the GI lumen and the position monitor presents the position in the GI tract at which the image was taken.
- Data processor 14 can be configured for real time processing or for post processing to be viewed at a later date. In addition to revealing pathological conditions of the GI tract, the system can provide information about the location of these pathologies.
- received images are analyzed for color content. Based on this analysis, as described hereinbelow, determination as to the presence or absence of a colorimetric abnormality may be made.
- a colorimetric abnormality may indicate a pathological condition, such as bleeding.
- Other examples of pathologies which may be detected based on the red part of the spectrum include active bleeding, blood clots, polyps, lesions, ulcerations, angiodisplasia and telangectasia.
- Pathologies which may be characterized by blue/violet color include arterio-venous malformation (AVM) and submucosal bleeding.
- AVM may also appear in red.
- some types of ulcers are characterized by white color. It will be apparent that the method and system described hereinbelow may be useful in detecting any colorimetric deviation from the normal color content of a body lumen, whether or not a pathological condition is present.
- FIG. 2 is a schematic illustration of the classification of samples according to their spectral components.
- Each test sample T is located within a coordinate system represented by the following variables: hue H, saturation S and value V.
- Hue H represents a number related to the dominant wavelength of the color stimulus, and varies from 0 to 1 as the color changes from red to yellow to green to cyan to blue to magenta and back to red again.
- Saturation S corresponds to color purity, and in the case of a pure color is equal to 100%.
- Value V is a measure of relative intensity of color, representing brightness of red, blue and green (RBG).
- a distance vector r(B,T) between test sample T and an ideal pathology sample B is calculated.
- Another distance vector r(R,T) between test sample T and a reference sample of healthy tissue R is calculated.
- the relationship of distance vector r(B,T) and distance vector r(R,T) is calculated.
- Each test sample T is classified based on the relationship between distance vector r(B,T) and distance vector r(R,T). Briefly, if distance vector r(B,T) is small relative to distance vector r(R,T), there is a positive indication of pathological color.
- the analysis is set up to include a higher possibility of false positives than false negatives, so as to minimize the likelihood of missing a positive diagnosis.
- other embodiments of analysis are possible as well.
- FIGS. 3 and 4 illustrate a system 15 and a flow chart diagram showing the steps of using system 15 for determining the blood content or any other color-distinguishable pathology within the gut.
- System 15 comprises illumination source 42 ′, image receiver 12 ′, data processor 14 ′, and image monitor 18 ′.
- Data processor 14 ′ comprises a spectral analyzer 22 , an adaptive reference builder 24 , a distance calculator 26 , and a decision calculator 28 .
- data processor 14 ′ is a standard computer accelerator board, high performance computer, multiprocessor or any other serial or parallel high performance processing machine.
- Image monitor 18 ′ may be a video display, or a graph, table or any other indicator.
- Steps of FIG. 4 may be accomplished using system 15 of FIG. 3.
- images are captured and processed within a capsule.
- images are captured by an in-vivo system, and are transmitted to a remote location where they are processed.
- Image receiver 12 ′ receives (step 101 ) images captured by the in-vivo camera system of FIG. 1 or any other in-vivo imager.
- Data processor 14 ′ divides (step 102 ) the color images into a grid of pixels. As in other imaging applications, the number of pixels determines the resolution of the image. For purposes of this discussion, the images are divided into blocks (i,j) of 8 ⁇ 8 pixels.
- the original image is a 256 ⁇ 256 pixel image
- the result of dividing into 8 pixels, and determining the color components is a 32 ⁇ 32 ⁇ 3 matrix of color component value blocks.
- Spectral analyzer 22 calculates (step 104 ) the color components of each block: hue H i,j ; saturation S i,j ; and brightness value V i,j for each image.
- Spectral analyzer also calculates (steps 105 and 106 - 110 ) the color components of blocks of pathology sample B and of healthy reference tissue R.
- Spectral analyzer 22 calculates (step 105 ) the color components of blocks of pathology sample B from known images containing blood.
- FIG. 5 is a schematic illustration of the adaptive reference building steps 106 - 110 of FIG. 4.
- Adaptive reference builder 24 calculates (steps 106 - 110 ) tissue reference color components in order to build a reference sample of healthy tissue. The adaptive approach is based on averaging healthy tissue appearing in subsequent images. Averages are used since the parameters of healthy tissue along the GI tract may change.
- Adaptive reference builder 24 selects (step 107 ) blocks based on value V (brightness) and hue H. In one embodiment, the conditions are: 0.1 ⁇ V i,j ⁇ 0.9 and 0 ⁇ H i,j ⁇ 0.09. These conditions indicate that healthy tissue is present. As shown in FIG.
- images P i , P i ⁇ 1 , and P i ⁇ 2 with regions R i , R i ⁇ 1 , and R i ⁇ 2 of healthy tissue are obtained.
- Adaptive reference builder 24 averages (step 108 ) color components of healthy regions R i , R i ⁇ 1 , and R i ⁇ 2 (i.e. the selected blocks) of images P i , P i ⁇ 1 , and P i ⁇ 2 obtained along the GI tract.
- adaptive reference builder 24 filters (step 110 ) the average tissue colors of the present image P i and the previous image P i ⁇ 1 .
- IIR Infinite Impulse Response
- t i represents the time index of the current frame i
- t i ⁇ 1 represents the time index of the previous frame i ⁇ 1.
- distance calculator 26 calculates (step 112 ) the Euclidian distance between each block in the matrix and blood reference value B.
- Blood reference value B is obtained from known images containing blood, analyzed by spectral analyzer 22 as described above.
- a different colorimetric reference value may be used for indication of other unusual colors.
- the result of this calculation is a matrix of 32 ⁇ 32 elements P ⁇ i,j .
- H b , S b and V b are the reference values for hue, saturation and brightness, respectively of blood.
- a similar distance calculation is calculated relative to the adaptive tissue reference color (healthy tissue) components, resulting in a 32 ⁇ 32 matrix I i,j as follows.
- ⁇ i , j ( H i , j - H t ) 2 + ( S i , j - S t ) 2 + ( V i , j - V t ) 2 ( H t 2 + S t 2 + V t 2 ) * ( H i , j 2 + S i , j 2 + V i , j 2 )
- H t , S t and V t are the reference values for hue saturation and brightness, respectively, of healthy tissue.
- the threshold can be set to any value.
- image monitor 18 ′ displays (step 118 ) the results, either as a color video showing the presence of bloods or as a graph or table indicating the levels and/or threshold values.
- Display of results may include incorporation of a position indicator, so that the end user can determine where the presence of color change is within the GI tract, or other body lumen. Thus, the physician will be able to deal with the problem area.
Abstract
Description
- The present invention relates to a method and system for detection of colorimetric abnormalities in vivo, and specifically within the gastrointestinal (GI) tract.
- Pathologies of the gastrointestinal (GI) tract may exist for a variety of reasons. Some examples of pathologies include bleeding, lesions, angiodisplasia, Crohn's disease, polyps, celiac disorders, and others. The majority of pathologies result in changes of color and/or texture of the inner surface of the GI tract.
- As one example, color changes may be due to bleeding. Blood may be present within the digestive tract for a variety of pathological reasons, including ulcers, cancer, or other disease conditions. It is often difficult to detect the presence of blood within the GI tract, since bleeding can occur in difficult to reach locations. In addition, it is difficult to “see” inside the tract, especially in sections which are hard to reach such as the small intestines.
- Several approaches have been used to try to detect the presence of blood within the GI tract. One approach has been the detection of blood in the feces by visual and/or chemical means. The main drawback of this approach has been that the concentration of blood in the feces is lower than the concentration of blood at the bleeding site, since additional materials are accumulated along the GI passage. Therefore, the sensitivity of this approach is low. In addition, the specific bleeding site along the GI tract cannot be determined.
- A second, more invasive technique, has been the use of an endoscope or enteroscope. This approach enables direct visualization of parts of the GI tract. However, most portions of the small intestine are inaccessible by this method.
- Other examples of pathologies which may be detected based on the red part of the spectrum include active bleeding, blood clots, polyps, lesions, ulcerations, angiodisplasia and telangectasia. Pathologies which may be characterized by blue/violet color include arterio-venous malformation (AVM) and submucosal bleeding. AVM may also appear in red. In addition, some types of ulcers are characterized by white color.
- There is provided, in accordance with one embodiment of the present invention a method for detecting colorimetric abnormalities in a body lumen. The method includes the step of calculating a probability indication of a presence of an abnormal color within the body lumen based on comparison of spectral characteristics to at least one reference value.
- There is provided, in accordance with another embodiment of the present invention, a method for calculation of a reference value for tissue. The method includes the steps of receiving at least a first image and a second image from within a body lumen, selecting blocks of pixels within the images based on calorimetric parameters, averaging the colorimetric parameters of the selected blocks of pixels of the first and second images, and filtering the calorimetric parameters, thereby obtaining a reference value for tissue.
- There is provided, in accordance with another embodiment of the present invention, a swallowable capsule for detecting colorimetric abnormalities in a gastrointestinal tract. The capsule includes an image-receiver for receiving images from the gastrointestinal tract, and a processor for generating a probability indication for presence of calorimetric abnormalities by comparing color content of the images to at least one reference value.
- There is provided, in accordance with another embodiment of the present invention, an apparatus for determining colorimetric abnormalities within a body lumen. The apparatus includes an image-receiver for receiving images from a body lumen, a spectral analyzer for determining color content of the images, and a processor for generating a probability indication for presence of an abnormal condition by comparing the color content to at least one reference value.
- There is provided, in accordance with another embodiment of the present invention, a system for detection of blood within a body lumen. The system includes a swallowable capsule having an in-vivo imager for obtaining images from within the body lumen, a transmitter for transmitting the images to a receiver, and a processor for generating a probability indication of presence of blood based on comparison of color content of the received images and at least one reference value.
- The present invention will be understood and appreciated more fully from the following detailed description taken in conjunction with the drawings in which:
- FIG. 1 is a schematic illustration of a prior art in vivo camera system;
- FIG. 2 is a schematic illustration of the classification of samples according to their spectral components;
- FIG. 3 is a block diagram illustration of a system according to one embodiment of the present invention;
- FIG. 4 is a flow chart illustration of the method used by the system shown in FIG. 3; and
- FIG. 5 is a schematic illustration of adaptive building of a reference tissue sample.
- The present invention relates to a method and system of detection of pathologies by spectral analysis of images captured by a moving in-vivo video camera system. This analysis is based on detection of colorimetric abnormalities, or deviations from an expected spectrum. The in-vivo video camera system may be included on an endoscope, a swallowable capsule, or any other device which is introduced into the body to view the interior.
- U.S. Pat. No. 5,604,531, assigned to the common assignee of the present application and incorporated herein by reference, teaches an in vivo camera system, which is carried by a swallowable capsule. The in vivo video camera system captures and transmits images of the GI tract while the capsule passes through the GI lumen. In addition to the camera system, the capsule contains an optical system for imaging an area of interest onto the camera system and a transmitter for transmitting the video output of the camera. The capsule can pass through the entire digestive tract and operate as an autonomous video endoscope. It images even the difficult to reach areas of the small intestine.
- Reference is made to FIG. 1, which shows a schematic diagram of the system, described in U.S. Pat. No. 5,604,531. The system comprises a
capsule 40 having animager 46, anillumination source 42, and atransmitter 41. Outside the patient's body are an image receiver 12 (usually an antenna array), astorage unit 19, adata processor 14, animage monitor 18, and aposition monitor 16. While FIG. 1 shows separate monitors, both an image and its position can be presented on a single monitor. -
Imager 46 incapsule 40 is connected totransmitter 41 also located incapsule 40.Transmitter 41 transmits images toimage receiver 12, which sends the data todata processor 14 and tostorage unit 19.Data processor 14 analyzes the data and is in communication withstorage unit 19, transferring frame data to and fromstorage unit 19.Data processor 14 also provides the analyzed data toimage monitor 18 andposition monitor 16 where the physician views the data. The image monitor presents an image of the GI lumen and the position monitor presents the position in the GI tract at which the image was taken.Data processor 14 can be configured for real time processing or for post processing to be viewed at a later date. In addition to revealing pathological conditions of the GI tract, the system can provide information about the location of these pathologies. - In a preferred embodiment of the present invention, received images are analyzed for color content. Based on this analysis, as described hereinbelow, determination as to the presence or absence of a colorimetric abnormality may be made. A colorimetric abnormality may indicate a pathological condition, such as bleeding. Other examples of pathologies which may be detected based on the red part of the spectrum include active bleeding, blood clots, polyps, lesions, ulcerations, angiodisplasia and telangectasia. Pathologies which may be characterized by blue/violet color include arterio-venous malformation (AVM) and submucosal bleeding. AVM may also appear in red. In addition, some types of ulcers are characterized by white color. It will be apparent that the method and system described hereinbelow may be useful in detecting any colorimetric deviation from the normal color content of a body lumen, whether or not a pathological condition is present.
- Reference is now made to FIG. 2, which is a schematic illustration of the classification of samples according to their spectral components. Each test sample T is located within a coordinate system represented by the following variables: hue H, saturation S and value V. Hue H represents a number related to the dominant wavelength of the color stimulus, and varies from 0 to 1 as the color changes from red to yellow to green to cyan to blue to magenta and back to red again. Saturation S corresponds to color purity, and in the case of a pure color is equal to 100%. Value V is a measure of relative intensity of color, representing brightness of red, blue and green (RBG). A distance vector r(B,T) between test sample T and an ideal pathology sample B is calculated. Another distance vector r(R,T) between test sample T and a reference sample of healthy tissue R is calculated. The relationship of distance vector r(B,T) and distance vector r(R,T) is calculated. Each test sample T is classified based on the relationship between distance vector r(B,T) and distance vector r(R,T). Briefly, if distance vector r(B,T) is small relative to distance vector r(R,T), there is a positive indication of pathological color. In the preferred embodiment, the analysis is set up to include a higher possibility of false positives than false negatives, so as to minimize the likelihood of missing a positive diagnosis. However, other embodiments of analysis are possible as well.
- Reference is now made to FIGS. 3 and 4, which illustrate a
system 15 and a flow chart diagram showing the steps of usingsystem 15 for determining the blood content or any other color-distinguishable pathology within the gut.System 15 comprisesillumination source 42′,image receiver 12′,data processor 14′, and image monitor 18′.Data processor 14′ comprises aspectral analyzer 22, anadaptive reference builder 24, adistance calculator 26, and adecision calculator 28. According to one embodiment of the invention,data processor 14′ is a standard computer accelerator board, high performance computer, multiprocessor or any other serial or parallel high performance processing machine. Image monitor 18′ may be a video display, or a graph, table or any other indicator. - Steps of FIG. 4 may be accomplished using
system 15 of FIG. 3. In one embodiment, images are captured and processed within a capsule. In another embodiment, images are captured by an in-vivo system, and are transmitted to a remote location where they are processed.Image receiver 12′ receives (step 101) images captured by the in-vivo camera system of FIG. 1 or any other in-vivo imager.Data processor 14′ divides (step 102) the color images into a grid of pixels. As in other imaging applications, the number of pixels determines the resolution of the image. For purposes of this discussion, the images are divided into blocks (i,j) of 8×8 pixels. Since, in one embodiment, the original image is a 256×256 pixel image, the result of dividing into 8 pixels, and determining the color components is a 32×32×3 matrix of color component value blocks.Spectral analyzer 22 calculates (step 104) the color components of each block: hue Hi,j; saturation Si,j; and brightness value Vi,j for each image. - Spectral analyzer also calculates (
steps 105 and 106-110) the color components of blocks of pathology sample B and of healthy reference tissueR. Spectral analyzer 22 calculates (step 105) the color components of blocks of pathology sample B from known images containing blood. - Reference is now made to FIG. 5, which is a schematic illustration of the adaptive reference building steps106-110 of FIG. 4.
Adaptive reference builder 24 calculates (steps 106-110) tissue reference color components in order to build a reference sample of healthy tissue. The adaptive approach is based on averaging healthy tissue appearing in subsequent images. Averages are used since the parameters of healthy tissue along the GI tract may change.Adaptive reference builder 24 selects (step 107) blocks based on value V (brightness) and hue H. In one embodiment, the conditions are: 0.1<Vi,j<0.9 and 0<Hi,j<0.09. These conditions indicate that healthy tissue is present. As shown in FIG. 5, images Pi, Pi−1, and Pi−2 with regions Ri, Ri−1, and Ri−2 of healthy tissue are obtained.Adaptive reference builder 24 averages (step 108) color components of healthy regions Ri, Ri−1, and Ri−2 (i.e. the selected blocks) of images Pi, Pi−1, and Pi−2 obtained along the GI tract. To smooth the data and eliminate sensitivity to particular images,adaptive reference builder 24 filters (step 110) the average tissue colors of the present image Pi and the previous image Pi−1. - In one embodiment an Infinite Impulse Response (IIR) filter with the following iterative computation is used:
- out(t i)=0.08*in(t i)+0.92*out(t i−1)
- where ti represents the time index of the current frame i and ti−1 represents the time index of the previous frame i−1.
- Referring back to FIG. 4,
distance calculator 26 then calculates (step 112) the Euclidian distance between each block in the matrix and blood reference value B. Blood reference value B is obtained from known images containing blood, analyzed byspectral analyzer 22 as described above. In another embodiment, a different colorimetric reference value may be used for indication of other unusual colors. The result of this calculation, for the exemplary embodiment, is a matrix of 32×32 elements Pβi,j. This calculation is done according to the following equation: - where Hb, Sb and Vb are the reference values for hue, saturation and brightness, respectively of blood.
-
- where Ht, St and Vt are the reference values for hue saturation and brightness, respectively, of healthy tissue.
-
- The threshold can be set to any value. In a preferred embodiment, the threshold values are as follows: BloodThreshold=0.15 and TissueRatioThreshold=4. Blood exists if Λ>0.
- Finally, image monitor18′ displays (step 118) the results, either as a color video showing the presence of bloods or as a graph or table indicating the levels and/or threshold values.
- Display of results may include incorporation of a position indicator, so that the end user can determine where the presence of color change is within the GI tract, or other body lumen. Thus, the physician will be able to deal with the problem area.
- It will be appreciated by persons skilled in the art that the present invention is not limited to what has been particularly shown and described hereinabove. Rather the scope of the present invention is defined only by the claims that follow:
Claims (55)
Priority Applications (4)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US10/097,096 US20020177779A1 (en) | 2001-03-14 | 2002-03-14 | Method and system for detecting colorimetric abnormalities in vivo |
US13/541,111 US8626268B2 (en) | 2001-03-14 | 2012-07-03 | Method and system for detecting colorimetric abnormalities in vivo |
US14/046,258 US8918164B2 (en) | 2001-03-14 | 2013-10-04 | Method and system for detecting colorimetric abnormalities in vivo |
US14/543,154 US9364139B2 (en) | 2001-03-14 | 2014-11-17 | Method and system for detecting colorimetric abnormalities in vivo |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US27548601P | 2001-03-14 | 2001-03-14 | |
US10/097,096 US20020177779A1 (en) | 2001-03-14 | 2002-03-14 | Method and system for detecting colorimetric abnormalities in vivo |
Related Child Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US13/541,111 Continuation US8626268B2 (en) | 2001-03-14 | 2012-07-03 | Method and system for detecting colorimetric abnormalities in vivo |
Publications (1)
Publication Number | Publication Date |
---|---|
US20020177779A1 true US20020177779A1 (en) | 2002-11-28 |
Family
ID=23052498
Family Applications (4)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US10/097,096 Abandoned US20020177779A1 (en) | 2001-03-14 | 2002-03-14 | Method and system for detecting colorimetric abnormalities in vivo |
US13/541,111 Expired - Fee Related US8626268B2 (en) | 2001-03-14 | 2012-07-03 | Method and system for detecting colorimetric abnormalities in vivo |
US14/046,258 Expired - Fee Related US8918164B2 (en) | 2001-03-14 | 2013-10-04 | Method and system for detecting colorimetric abnormalities in vivo |
US14/543,154 Expired - Lifetime US9364139B2 (en) | 2001-03-14 | 2014-11-17 | Method and system for detecting colorimetric abnormalities in vivo |
Family Applications After (3)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US13/541,111 Expired - Fee Related US8626268B2 (en) | 2001-03-14 | 2012-07-03 | Method and system for detecting colorimetric abnormalities in vivo |
US14/046,258 Expired - Fee Related US8918164B2 (en) | 2001-03-14 | 2013-10-04 | Method and system for detecting colorimetric abnormalities in vivo |
US14/543,154 Expired - Lifetime US9364139B2 (en) | 2001-03-14 | 2014-11-17 | Method and system for detecting colorimetric abnormalities in vivo |
Country Status (9)
Country | Link |
---|---|
US (4) | US20020177779A1 (en) |
EP (1) | EP1372474B1 (en) |
JP (2) | JP4067407B2 (en) |
CN (2) | CN100469308C (en) |
AT (1) | ATE509328T1 (en) |
AU (1) | AU2002241215A1 (en) |
ES (1) | ES2365696T3 (en) |
IL (1) | IL157892A0 (en) |
WO (1) | WO2002073507A2 (en) |
Cited By (117)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20020146368A1 (en) * | 2000-01-19 | 2002-10-10 | Gavriel Meron | System and method for determining the presence of a substance in-vivo |
US20030043263A1 (en) * | 2001-07-26 | 2003-03-06 | Arkady Glukhovsky | Diagnostic device using data compression |
US20030045790A1 (en) * | 2001-09-05 | 2003-03-06 | Shlomo Lewkowicz | System and method for three dimensional display of body lumens |
US20030151661A1 (en) * | 2002-02-12 | 2003-08-14 | Tal Davidson | System and method for displaying an image stream |
US20040027500A1 (en) * | 2002-02-12 | 2004-02-12 | Tal Davidson | System and method for displaying an image stream |
US20040068204A1 (en) * | 2001-06-26 | 2004-04-08 | Imran Mir A. | System for marking a location for treatment within the gastrointestinal tract |
US20050075537A1 (en) * | 2003-10-06 | 2005-04-07 | Eastman Kodak Company | Method and system for real-time automatic abnormality detection for in vivo images |
US20050075555A1 (en) * | 2002-05-09 | 2005-04-07 | Arkady Glukhovsky | System and method for in vivo sensing |
US20050094017A1 (en) * | 2003-11-04 | 2005-05-05 | Olympus Corporation | Image display apparatus, image display method, and record medium |
US20050107666A1 (en) * | 2003-10-01 | 2005-05-19 | Arkady Glukhovsky | Device, system and method for determining orientation of in-vivo devices |
WO2005053518A1 (en) | 2003-12-05 | 2005-06-16 | Olympus Corporation | Display processing device |
US20050137468A1 (en) * | 2003-12-18 | 2005-06-23 | Jerome Avron | Device, system, and method for in-vivo sensing of a substance |
US20050159643A1 (en) * | 2001-07-26 | 2005-07-21 | Ofra Zinaty | In-vivo imaging device providing data compression |
US20050187433A1 (en) * | 2001-07-26 | 2005-08-25 | Given Imaging Ltd. | In-vivo imaging device providing constant bit rate transmission |
US20050196023A1 (en) * | 2004-03-01 | 2005-09-08 | Eastman Kodak Company | Method for real-time remote diagnosis of in vivo images |
US6950690B1 (en) | 1998-10-22 | 2005-09-27 | Given Imaging Ltd | Method for delivering a device to a target location |
US20050215911A1 (en) * | 2004-01-16 | 2005-09-29 | The City College Of The University Of New York | Micro-scale compact device for in vivo medical diagnosis combining optical imaging and point fluorescence spectroscopy |
US20050256372A1 (en) * | 2001-07-30 | 2005-11-17 | Olympus Corporation | Capsule-type medical device and medical system |
US20050288594A1 (en) * | 2002-11-29 | 2005-12-29 | Shlomo Lewkowicz | Methods, device and system for in vivo diagnosis |
US20060034514A1 (en) * | 2004-06-30 | 2006-02-16 | Eli Horn | Device, system, and method for reducing image data captured in-vivo |
US20060052708A1 (en) * | 2003-05-01 | 2006-03-09 | Iddan Gavriel J | Panoramic field of view imaging device |
US20060074275A1 (en) * | 2004-09-27 | 2006-04-06 | Tal Davidson | System and method for editing an image stream captured in vivo |
US20060095093A1 (en) * | 2004-11-04 | 2006-05-04 | Ido Bettesh | Apparatus and method for receiving device selection and combining |
US20060106318A1 (en) * | 2004-11-15 | 2006-05-18 | Tal Davidson | System and method for displaying an image stream |
US20060164511A1 (en) * | 2003-12-31 | 2006-07-27 | Hagal Krupnik | System and method for displaying an image stream |
US20060189843A1 (en) * | 2003-10-27 | 2006-08-24 | Kenji Nakamura | Apparatus, Method, and computer program product for processing image |
US20060187300A1 (en) * | 2002-02-12 | 2006-08-24 | Tal Davidson | System and method for displaying an image stream |
US20060217593A1 (en) * | 2005-03-24 | 2006-09-28 | Zvika Gilad | Device, system and method of panoramic multiple field of view imaging |
US20060253004A1 (en) * | 2005-04-06 | 2006-11-09 | Mordechai Frisch | System and method for performing capsule endoscopy diagnosis in remote sites |
US20060262186A1 (en) * | 2003-03-31 | 2006-11-23 | Dov Avni | Diagnostic device, system and method for reduced data transmission |
US20070032699A1 (en) * | 2001-10-16 | 2007-02-08 | Olympus Corporation | Capsulated medical equipment |
US20070066875A1 (en) * | 2005-09-18 | 2007-03-22 | Eli Horn | System and method for identification of images in an image database |
US20070090298A1 (en) * | 2005-10-20 | 2007-04-26 | Yiping Shao | Method To Determine The Depth-Of-Interaction Function For PET Detectors |
US20070135715A1 (en) * | 2005-06-01 | 2007-06-14 | Olympus Medical Systems Corp. | Endoscopic diagnosis support method, endoscopic diagnosis support apparatus and endoscopic diagnosis support program |
US20070156051A1 (en) * | 2005-12-29 | 2007-07-05 | Amit Pascal | Device and method for in-vivo illumination |
US20070167834A1 (en) * | 2005-12-29 | 2007-07-19 | Amit Pascal | In-vivo imaging optical device and method |
US20070173692A1 (en) * | 2004-03-01 | 2007-07-26 | Masatoshi Homan | Endoscope image pick-up apparatus |
US20070195165A1 (en) * | 2005-05-20 | 2007-08-23 | Olympus Medical Systems Corp. | Image display apparatus |
WO2007031946A3 (en) * | 2005-09-12 | 2007-09-07 | Dvp Technologies Ltd | Medical image processing |
EP1847940A2 (en) | 2006-03-31 | 2007-10-24 | Given Imaging Ltd. | System for assessing a patient condition and method for processing related data |
US20070266680A1 (en) * | 2006-04-12 | 2007-11-22 | Branofilter Gmbh | Device for detachably securing a dust filter bag in dust aspirating equipment |
WO2008007172A1 (en) * | 2006-07-11 | 2008-01-17 | Stanley Kim | Test preparation device |
US20080114224A1 (en) * | 2006-09-06 | 2008-05-15 | Innuravation Llc | Methods and systems for acoustic data transmission |
US20080146896A1 (en) * | 2005-01-31 | 2008-06-19 | Elisha Rabinowitz | Device, system and method for in vivo analysis |
EP1862109A3 (en) * | 2006-06-01 | 2008-09-24 | FUJIFILM Corporation | Capsule endoscopic system and image processing apparatus |
US20080285826A1 (en) * | 2007-05-17 | 2008-11-20 | Olympus Medical Systems Corp. | Display processing apparatus of image information and display processing method of image information |
US20080294023A1 (en) * | 2004-06-28 | 2008-11-27 | Elisha Rabinovitz | Device, System, and Method for In-Vivo Analysis |
US20090003732A1 (en) * | 2007-06-27 | 2009-01-01 | Olympus Medical Systems Corp. | Display processing apparatus for image information |
US7492935B2 (en) | 2003-06-26 | 2009-02-17 | Given Imaging Ltd | Device, method, and system for reduced transmission imaging |
US20090048484A1 (en) * | 2001-09-05 | 2009-02-19 | Paul Christopher Swain | Device, system and method for magnetically maneuvering an in vivo device |
US20090105532A1 (en) * | 2007-10-22 | 2009-04-23 | Zvika Gilad | In vivo imaging device and method of manufacturing thereof |
US20090123043A1 (en) * | 2007-11-08 | 2009-05-14 | Kazuhiro Gono | Method and System for Correlating Image and Tissue Characteristic Data |
US20090124853A1 (en) * | 2007-11-08 | 2009-05-14 | Kazuhiro Gono | Capsule Blood Detection System and Method |
US20090135249A1 (en) * | 2004-08-18 | 2009-05-28 | Katsumi Hirakawa | Image display apparatus, image display method, and image display program |
US20090196495A1 (en) * | 2005-04-27 | 2009-08-06 | Ryoko Inoue | Image processing apparatus, image processing method and image processing program |
US20090202117A1 (en) * | 2006-06-12 | 2009-08-13 | Fernando Vilarino | Device, system and method for measurement and analysis of contractile activity |
US20090216082A1 (en) * | 2005-04-01 | 2009-08-27 | Elisha Rabinovitz | Device, System and Method for In Vivo Magnetic Immunoassay Analysis |
US7596403B2 (en) | 2004-06-30 | 2009-09-29 | Given Imaging Ltd. | System and method for determining path lengths through a body lumen |
US20090284589A1 (en) * | 2006-03-13 | 2009-11-19 | Petia Radeva | Cascade analysis for intestinal contraction detection |
US20090306522A1 (en) * | 2007-11-08 | 2009-12-10 | Kazuhiro Gono | Method and Apparatus for Detecting Abnormal Living Tissue |
US20090318766A1 (en) * | 2006-04-03 | 2009-12-24 | Elisha Rabinovitz | Device, system and method for in-vivo analysis |
US7637865B2 (en) | 2002-12-26 | 2009-12-29 | Given Imaging, Ltd. | In vivo imaging device |
US7643865B2 (en) | 2004-06-30 | 2010-01-05 | Given Imaging Ltd. | Autonomous in-vivo device |
US7647090B1 (en) | 2003-12-30 | 2010-01-12 | Given Imaging, Ltd. | In-vivo sensing device and method for producing same |
US20100016662A1 (en) * | 2008-02-21 | 2010-01-21 | Innurvation, Inc. | Radial Scanner Imaging System |
US7662094B2 (en) | 2002-05-14 | 2010-02-16 | Given Imaging Ltd. | Optical head assembly with dome, and device for use thereof |
US7662093B2 (en) | 2002-09-30 | 2010-02-16 | Given Imaging, Ltd. | Reduced size imaging device |
US7684840B2 (en) | 2002-08-13 | 2010-03-23 | Given Imaging, Ltd. | System and method for in-vivo sampling and analysis |
US20100119110A1 (en) * | 2008-11-07 | 2010-05-13 | Olympus Corporation | Image display device, computer readable storage medium storing image processing program, and image processing method |
US20100268025A1 (en) * | 2007-11-09 | 2010-10-21 | Amir Belson | Apparatus and methods for capsule endoscopy of the esophagus |
US7833151B2 (en) | 2002-12-26 | 2010-11-16 | Given Imaging Ltd. | In vivo imaging device with two imagers |
US20100324371A1 (en) * | 2008-03-24 | 2010-12-23 | Olympus Corporation | Capsule medical device, method for operating the same, and capsule medical device system |
US7866322B2 (en) | 2002-10-15 | 2011-01-11 | Given Imaging Ltd. | Device, system and method for transfer of signals to a moving device |
US20110044515A1 (en) * | 2006-03-13 | 2011-02-24 | Panagiota Spyridonos | Device, system and method for automatic detection of contractile activity in an image frame |
US20110060189A1 (en) * | 2004-06-30 | 2011-03-10 | Given Imaging Ltd. | Apparatus and Methods for Capsule Endoscopy of the Esophagus |
US20110097690A1 (en) * | 2009-10-22 | 2011-04-28 | Perry Franklin Samuel-Cutts | Training system for surfing and method of use |
US7946979B2 (en) | 2002-12-26 | 2011-05-24 | Given Imaging, Ltd. | Immobilizable in vivo sensing device |
US20110164126A1 (en) * | 2010-01-05 | 2011-07-07 | Iddo Ambor | System and method for displaying an image stream captured in-vivo |
US7998065B2 (en) | 2001-06-18 | 2011-08-16 | Given Imaging Ltd. | In vivo sensing device with a circuit board having rigid sections and flexible sections |
US20110299748A1 (en) * | 2005-02-15 | 2011-12-08 | Olympus Corporation | Medical image processing apparatus, luminal image processing apparatus, luminal image processing method, and programs for the same |
US20120008839A1 (en) * | 2010-07-07 | 2012-01-12 | Olympus Corporation | Image processing apparatus, method of processing image, and computer-readable recording medium |
US8142350B2 (en) | 2003-12-31 | 2012-03-27 | Given Imaging, Ltd. | In-vivo sensing device with detachable part |
US8225209B2 (en) | 2007-05-29 | 2012-07-17 | Olympus Medical Systems Corp. | Capsule endoscope image display device |
US20120274743A1 (en) * | 2010-11-08 | 2012-11-01 | Olympus Medical Systems Corp. | Image display device and capsule endoscope system |
EP2565846A1 (en) * | 2011-08-31 | 2013-03-06 | Olympus Corporation | Intraluminal lesion detection by classifying pixel colours |
US8449452B2 (en) | 2002-09-30 | 2013-05-28 | Given Imaging Ltd. | In-vivo sensing system |
US8500630B2 (en) | 2004-06-30 | 2013-08-06 | Given Imaging Ltd. | In vivo device with flexible circuit board and method for assembly thereof |
US8515507B2 (en) | 2008-06-16 | 2013-08-20 | Given Imaging Ltd. | Device and method for detecting in-vivo pathology |
US8516691B2 (en) | 2009-06-24 | 2013-08-27 | Given Imaging Ltd. | Method of assembly of an in vivo imaging device with a flexible circuit board |
US8529441B2 (en) | 2008-02-12 | 2013-09-10 | Innurvation, Inc. | Ingestible endoscopic optical scanning device |
US8588887B2 (en) | 2006-09-06 | 2013-11-19 | Innurvation, Inc. | Ingestible low power sensor device and system for communicating with same |
US8617058B2 (en) | 2008-07-09 | 2013-12-31 | Innurvation, Inc. | Displaying image data from a scanner capsule |
US20140031659A1 (en) * | 2012-07-25 | 2014-01-30 | Intuitive Surgical Operations, Inc. | Efficient and interactive bleeding detection in a surgical system |
US8647259B2 (en) | 2010-03-26 | 2014-02-11 | Innurvation, Inc. | Ultrasound scanning capsule endoscope (USCE) |
US8682142B1 (en) | 2010-03-18 | 2014-03-25 | Given Imaging Ltd. | System and method for editing an image stream captured in-vivo |
US20140213871A1 (en) * | 2011-10-06 | 2014-07-31 | Olympus Corporation | Fluorescence observation apparatus |
US8873816B1 (en) | 2011-04-06 | 2014-10-28 | Given Imaging Ltd. | Method and system for identification of red colored pathologies in vivo |
US8913807B1 (en) | 2010-12-30 | 2014-12-16 | Given Imaging Ltd. | System and method for detecting anomalies in a tissue imaged in-vivo |
US8923585B1 (en) * | 2012-01-31 | 2014-12-30 | Given Imaging Ltd. | Method and system for image-based ulcer detection |
US8929629B1 (en) * | 2011-06-29 | 2015-01-06 | Given Imaging Ltd. | Method and system for image-based ulcer detection |
US20150150433A1 (en) * | 1999-03-01 | 2015-06-04 | West View Research, Llc | Computerized information collection and processing apparatus and methods |
WO2015087332A2 (en) | 2013-12-11 | 2015-06-18 | Given Imaging Ltd. | System and method for controlling the display of an image stream |
US9060673B2 (en) | 2010-04-28 | 2015-06-23 | Given Imaging Ltd. | System and method for displaying portions of in-vivo images |
US9197470B2 (en) | 2007-10-05 | 2015-11-24 | Innurvation, Inc. | Data transmission via multi-path channels using orthogonal multi-frequency signals with differential phase shift keying modulation |
US9192353B2 (en) | 2009-10-27 | 2015-11-24 | Innurvation, Inc. | Data transmission via wide band acoustic channels |
US9324145B1 (en) | 2013-08-08 | 2016-04-26 | Given Imaging Ltd. | System and method for detection of transitions in an image stream of the gastrointestinal tract |
US9320417B2 (en) | 2005-12-29 | 2016-04-26 | Given Imaging Ltd. | In-vivo optical imaging device with backscatter blocking |
EP2875775A4 (en) * | 2012-07-17 | 2016-04-27 | Hoya Corp | Image processing device and endoscopic instrument |
US9430706B1 (en) | 2013-10-02 | 2016-08-30 | Given Imaging Ltd. | System and method for detection of in-vivo pathology sequences |
US9430833B2 (en) | 2012-07-17 | 2016-08-30 | Hoya Corporation | Image processing device and endoscope device |
US9633276B2 (en) * | 2014-07-14 | 2017-04-25 | Sony Corporation | Blood detection system with real-time capability and method of operation thereof |
US20170273543A1 (en) * | 2015-08-13 | 2017-09-28 | Hoya Corporation | Evaluation value calculation device and electronic endoscope system |
US20170280971A1 (en) * | 2015-08-13 | 2017-10-05 | Hoya Corporation | Evaluation value calculation device and electronic endoscope system |
US10070932B2 (en) | 2013-08-29 | 2018-09-11 | Given Imaging Ltd. | System and method for maneuvering coils power optimization |
US10098568B2 (en) | 1999-03-01 | 2018-10-16 | West View Research, Llc | Computerized apparatus with ingestible probe |
US10572997B2 (en) | 2015-12-18 | 2020-02-25 | Given Imaging Ltd. | System and method for detecting anomalies in an image captured in-vivo using color histogram association |
US20210366120A1 (en) * | 2020-05-25 | 2021-11-25 | Hitachi, Ltd. | Medical image processing apparatus, and medical imaging apparatus |
Families Citing this family (74)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2002073507A2 (en) * | 2001-03-14 | 2002-09-19 | Given Imaging Ltd. | Method and system for detecting colorimetric abnormalities |
JP4547401B2 (en) * | 2003-04-25 | 2010-09-22 | オリンパス株式会社 | Image display device, image display method, and image display program |
JP4547402B2 (en) * | 2003-04-25 | 2010-09-22 | オリンパス株式会社 | Image display device, image display method, and image display program |
JP4554647B2 (en) * | 2003-04-25 | 2010-09-29 | オリンパス株式会社 | Image display device, image display method, and image display program |
JP3810381B2 (en) * | 2003-04-25 | 2006-08-16 | オリンパス株式会社 | Image display device, image display method, and image display program |
CN100431475C (en) * | 2003-04-25 | 2008-11-12 | 奥林巴斯株式会社 | Device, method and program for image processing |
JP4493386B2 (en) * | 2003-04-25 | 2010-06-30 | オリンパス株式会社 | Image display device, image display method, and image display program |
JP4656825B2 (en) * | 2003-09-08 | 2011-03-23 | オリンパス株式会社 | In-subject introduction apparatus and wireless in-subject information acquisition system |
JP4652694B2 (en) * | 2004-01-08 | 2011-03-16 | オリンパス株式会社 | Image processing method |
US7623690B2 (en) * | 2004-03-30 | 2009-11-24 | Carestream Health, Inc. | System and method for classifying in vivo images according to anatomical structure |
US7605852B2 (en) | 2004-05-17 | 2009-10-20 | Micron Technology, Inc. | Real-time exposure control for automatic light control |
KR100891766B1 (en) | 2004-12-10 | 2009-04-07 | 올림푸스 가부시키가이샤 | Medical image processing apparatus |
WO2006112227A1 (en) | 2005-04-13 | 2006-10-26 | Olympus Medical Systems Corp. | Image processing device and method |
ATE523862T1 (en) * | 2005-09-09 | 2011-09-15 | Given Imaging Ltd | SIMULTANEOUS TRANSFER AND PROCESSING AND REAL-TIME VIEWING OF IN-VIVO IMAGES |
US8423123B2 (en) * | 2005-09-30 | 2013-04-16 | Given Imaging Ltd. | System and method for in-vivo feature detection |
EP2412301B1 (en) | 2005-12-28 | 2014-04-23 | Olympus Medical Systems Corp. | Image processing device and image processing method in image processing device |
JP4912787B2 (en) | 2006-08-08 | 2012-04-11 | オリンパスメディカルシステムズ株式会社 | Medical image processing apparatus and method of operating medical image processing apparatus |
JP5121204B2 (en) | 2006-10-11 | 2013-01-16 | オリンパス株式会社 | Image processing apparatus, image processing method, and image processing program |
WO2008102803A1 (en) * | 2007-02-22 | 2008-08-28 | Olympus Medical Systems Corp. | Intrasubject introduction system |
WO2008139812A1 (en) | 2007-05-08 | 2008-11-20 | Olympus Corporation | Image processing device and image processing program |
JP5106928B2 (en) | 2007-06-14 | 2012-12-26 | オリンパス株式会社 | Image processing apparatus and image processing program |
EP2057934B1 (en) * | 2007-11-12 | 2017-01-04 | Novineon Healthcare Technology Partners Gmbh | Device for hemorrhage detection |
US8888680B2 (en) | 2008-07-07 | 2014-11-18 | Olympus Medical Systems Corp. | Method and apparatus for foreign matter detection for blood content sensors |
US8945010B2 (en) | 2009-12-23 | 2015-02-03 | Covidien Lp | Method of evaluating constipation using an ingestible capsule |
US10300296B2 (en) | 2010-03-17 | 2019-05-28 | Photopill Medical Ltd. | Capsule phototherapy |
US20140055400A1 (en) | 2011-05-23 | 2014-02-27 | Haworth, Inc. | Digital workspace ergonomics apparatuses, methods and systems |
WO2012162411A1 (en) | 2011-05-23 | 2012-11-29 | Haworth, Inc. | Digital whiteboard collaboration apparatuses, methods and systems |
US8897523B2 (en) | 2011-07-09 | 2014-11-25 | Gauss Surgical | System and method for counting surgical samples |
US10426356B2 (en) | 2011-07-09 | 2019-10-01 | Gauss Surgical, Inc. | Method for estimating a quantity of a blood component in a fluid receiver and corresponding error |
US9047663B2 (en) | 2011-07-09 | 2015-06-02 | Gauss Surgical | Method for triggering blood salvage |
US9870625B2 (en) | 2011-07-09 | 2018-01-16 | Gauss Surgical, Inc. | Method for estimating a quantity of a blood component in a fluid receiver and corresponding error |
US9646375B2 (en) | 2011-07-09 | 2017-05-09 | Gauss Surgical, Inc. | Method for setting a blood transfusion parameter |
JP2015509744A (en) * | 2011-12-15 | 2015-04-02 | ギブン イメージング リミテッドGiven Imaging Ltd. | Apparatus, system and method for in vivo detection of bleeding in the gastrointestinal tract |
US9854970B2 (en) * | 2012-02-21 | 2018-01-02 | Massachusetts Eye & Ear Infirmary | Calculating conjunctival redness |
WO2013173356A1 (en) | 2012-05-14 | 2013-11-21 | Gauss Surgical | System and methods for managing blood loss of a patient |
CN104662559B (en) | 2012-05-14 | 2019-02-05 | 高斯外科公司 | System and method for estimating the amount of the blood constituent in liquid tank |
US9479549B2 (en) | 2012-05-23 | 2016-10-25 | Haworth, Inc. | Collaboration system with whiteboard with federated display |
US9479548B2 (en) | 2012-05-23 | 2016-10-25 | Haworth, Inc. | Collaboration system with whiteboard access to global collaboration data |
JP2014140335A (en) * | 2013-01-24 | 2014-08-07 | Dainippon Printing Co Ltd | Medium image analyzing device, medium information registration system and program, and hygiene management system |
US10304037B2 (en) | 2013-02-04 | 2019-05-28 | Haworth, Inc. | Collaboration system including a spatial event map |
US11861561B2 (en) | 2013-02-04 | 2024-01-02 | Haworth, Inc. | Collaboration system including a spatial event map |
JP6097629B2 (en) * | 2013-04-26 | 2017-03-15 | Hoya株式会社 | Lesion evaluation information generator |
US8736685B1 (en) * | 2013-12-11 | 2014-05-27 | Anritsu Company | Systems and methods for measuring brightness response of a camera operating in automatic exposure mode |
WO2015160997A1 (en) | 2014-04-15 | 2015-10-22 | Gauss Surgical, Inc. | Method for estimating a quantity of a blood component in a fluid canister |
EP3132253B1 (en) | 2014-04-15 | 2019-02-13 | Gauss Surgical, Inc. | Method for estimating a quantity of a blood component in a fluid canister |
ES2893541T3 (en) | 2014-05-02 | 2022-02-09 | Massachusetts Eye & Ear Infirmary | Qualification of corneal fluorescein staining |
EP3197336B1 (en) | 2014-09-25 | 2020-12-23 | Progenity, Inc. | Electromechanical pill device with localization capabilities |
CN104658014B (en) * | 2015-02-10 | 2017-09-22 | 重庆金山科技(集团)有限公司 | A kind of method for detecting colorimetric abnormality in organism |
EP3292524B1 (en) | 2015-05-06 | 2020-07-08 | Haworth, Inc. | Virtual workspace viewport follow mode in collaboration systems |
US10555675B2 (en) | 2015-05-15 | 2020-02-11 | Gauss Surgical, Inc. | Method for projecting blood loss of a patient during a surgery |
WO2016187071A1 (en) | 2015-05-15 | 2016-11-24 | Gauss Surgical, Inc. | Systems and methods for assessing fluids from a patient |
WO2016187072A1 (en) | 2015-05-15 | 2016-11-24 | Gauss Surgical, Inc. | Methods and systems for characterizing fluids from a patient |
WO2017112913A1 (en) | 2015-12-23 | 2017-06-29 | Gauss Surgical, Inc. | System and method for estimating an amount of a blood component in a volume of fluid |
JP6934253B2 (en) | 2015-12-23 | 2021-09-15 | ガウス サージカル, インコーポレイテッドGauss Surgical, Inc. | How to assess the amount of blood components in a surgical fabric |
TWI616180B (en) * | 2016-06-29 | 2018-03-01 | 國立成功大學 | Upper gastrointestinal bleeding monitoring system |
CN109890299A (en) * | 2016-08-18 | 2019-06-14 | 普罗根尼蒂公司 | Sampling system and associated materials and method |
JP2019526423A (en) | 2016-09-09 | 2019-09-19 | ミッチェル・ローレンス・ジョーンズMitchell Lawrence JONES | Electromechanically ingestible device for delivery of dispenseable substances |
WO2018106931A1 (en) | 2016-12-07 | 2018-06-14 | Progenity Inc. | Gastrointestinal tract detection methods, devices and systems |
JP7268879B2 (en) | 2017-01-02 | 2023-05-08 | ガウス サージカル,インコーポレイテッド | Tracking Surgical Items Predicting Duplicate Imaging |
KR101875004B1 (en) | 2017-01-04 | 2018-07-05 | 금오공과대학교 산학협력단 | Automated bleeding detection method and computer program in wireless capsule endoscopy videos |
US11229368B2 (en) | 2017-01-13 | 2022-01-25 | Gauss Surgical, Inc. | Fluid loss estimation based on weight of medical items |
CA3055762A1 (en) | 2017-03-31 | 2018-10-04 | Progenity, Inc. | Localization systems and methods for an ingestible device |
JP7040910B2 (en) | 2017-10-11 | 2022-03-23 | 聡 織田 | Ultrasonic probe |
US11126325B2 (en) | 2017-10-23 | 2021-09-21 | Haworth, Inc. | Virtual workspace including shared viewport markers in a collaboration system |
US11934637B2 (en) | 2017-10-23 | 2024-03-19 | Haworth, Inc. | Collaboration system including markers identifying multiple canvases in multiple shared virtual workspaces |
WO2019164277A1 (en) * | 2018-02-20 | 2019-08-29 | (주)휴톰 | Method and device for evaluating bleeding by using surgical image |
US20210267475A1 (en) * | 2018-07-25 | 2021-09-02 | Check-Cap Ltd. | System and method for polyp detection through capsule dynamics |
EP3883635A1 (en) | 2018-11-19 | 2021-09-29 | Progenity, Inc. | Methods and devices for treating a disease with biotherapeutics |
JP7238390B2 (en) * | 2018-12-21 | 2023-03-14 | セイコーエプソン株式会社 | Information system and identification method |
WO2020176517A1 (en) | 2019-02-25 | 2020-09-03 | Haworth, Inc. | Gesture based workflows in a collaboration system |
US11707610B2 (en) | 2019-12-13 | 2023-07-25 | Biora Therapeutics, Inc. | Ingestible device for delivery of therapeutic agent to the gastrointestinal tract |
US11750672B2 (en) | 2020-05-07 | 2023-09-05 | Haworth, Inc. | Digital workspace sharing over one or more display clients in proximity of a main client |
US11212127B2 (en) | 2020-05-07 | 2021-12-28 | Haworth, Inc. | Digital workspace sharing over one or more display clients and authorization protocols for collaboration systems |
CN112991325B (en) * | 2021-04-14 | 2021-08-17 | 上海孚慈医疗科技有限公司 | Intelligent coding-based speckled red-emitting image acquisition and processing method and system |
Citations (18)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US3971362A (en) * | 1972-10-27 | 1976-07-27 | The United States Of America As Represented By The Administrator Of The National Aeronautics And Space Administration | Miniature ingestible telemeter devices to measure deep-body temperature |
US4278077A (en) * | 1978-07-27 | 1981-07-14 | Olympus Optical Co., Ltd. | Medical camera system |
US4689621A (en) * | 1986-03-31 | 1987-08-25 | The United States Of America As Represented By The Administrator Of The National Aeronautics And Space Administration | Temperature responsive transmitter |
US4844076A (en) * | 1988-08-26 | 1989-07-04 | The Johns Hopkins University | Ingestible size continuously transmitting temperature monitoring pill |
US5042494A (en) * | 1985-11-13 | 1991-08-27 | Alfano Robert R | Method and apparatus for detecting cancerous tissue using luminescence excitation spectra |
US5279607A (en) * | 1991-05-30 | 1994-01-18 | The State University Of New York | Telemetry capsule and process |
US5604531A (en) * | 1994-01-17 | 1997-02-18 | State Of Israel, Ministry Of Defense, Armament Development Authority | In vivo video camera system |
US5819736A (en) * | 1994-03-24 | 1998-10-13 | Sightline Technologies Ltd. | Viewing method and apparatus particularly useful for viewing the interior of the large intestine |
US5827190A (en) * | 1994-03-28 | 1998-10-27 | Xillix Technologies Corp. | Endoscope having an integrated CCD sensor |
US5830141A (en) * | 1995-09-29 | 1998-11-03 | U.S. Philips Corporation | Image processing method and device for automatic detection of regions of a predetermined type of cancer in an intensity image |
US5993378A (en) * | 1980-10-28 | 1999-11-30 | Lemelson; Jerome H. | Electro-optical instruments and methods for treating disease |
US6095989A (en) * | 1993-07-20 | 2000-08-01 | Hay; Sam H. | Optical recognition methods for locating eyes |
US6166496A (en) * | 1997-08-26 | 2000-12-26 | Color Kinetics Incorporated | Lighting entertainment system |
US6240312B1 (en) * | 1997-10-23 | 2001-05-29 | Robert R. Alfano | Remote-controllable, micro-scale device for use in in vivo medical diagnosis and/or treatment |
US20020042562A1 (en) * | 2000-09-27 | 2002-04-11 | Gavriel Meron | Immobilizable in vivo sensing device |
US6459919B1 (en) * | 1997-08-26 | 2002-10-01 | Color Kinetics, Incorporated | Precision illumination methods and systems |
US6632175B1 (en) * | 2000-11-08 | 2003-10-14 | Hewlett-Packard Development Company, L.P. | Swallowable data recorder capsule medical device |
US7039453B2 (en) * | 2000-02-08 | 2006-05-02 | Tarun Mullick | Miniature ingestible capsule |
Family Cites Families (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPS59188301A (en) * | 1983-04-08 | 1984-10-25 | Japanese National Railways<Jnr> | Controller of electric railcar |
JP3285235B2 (en) * | 1992-11-05 | 2002-05-27 | オリンパス光学工業株式会社 | Capsule device for in vivo observation |
US5833603A (en) * | 1996-03-13 | 1998-11-10 | Lipomatrix, Inc. | Implantable biosensing transponder |
US6422994B1 (en) * | 1997-09-24 | 2002-07-23 | Olympus Optical Co., Ltd. | Fluorescent diagnostic system and method providing color discrimination enhancement |
GB9810771D0 (en) * | 1998-05-19 | 1998-07-15 | Active Silicon Limited | Method of detecting colours |
DE19844618A1 (en) | 1998-09-29 | 2000-03-30 | Zahnradfabrik Friedrichshafen | Method for reducing the thermal load on an automatic transmission for a motor vehicle in an emergency mode |
IL126727A (en) | 1998-10-22 | 2006-12-31 | Given Imaging Ltd | Method for delivering a device to a target location |
JP2001037718A (en) | 1999-05-26 | 2001-02-13 | Olympus Optical Co Ltd | Image diagnostic device and endoscope device |
AU6178900A (en) * | 1999-07-26 | 2001-02-13 | Haim Shani | An improved method and apparatus for the detection of medical conditions of shock and pre-shock |
WO2002073507A2 (en) * | 2001-03-14 | 2002-09-19 | Given Imaging Ltd. | Method and system for detecting colorimetric abnormalities |
-
2002
- 2002-03-14 WO PCT/IL2002/000210 patent/WO2002073507A2/en active Search and Examination
- 2002-03-14 JP JP2002572089A patent/JP4067407B2/en not_active Expired - Fee Related
- 2002-03-14 EP EP02707063A patent/EP1372474B1/en not_active Expired - Lifetime
- 2002-03-14 AU AU2002241215A patent/AU2002241215A1/en not_active Abandoned
- 2002-03-14 IL IL15789202A patent/IL157892A0/en unknown
- 2002-03-14 CN CNB028098560A patent/CN100469308C/en not_active Expired - Lifetime
- 2002-03-14 US US10/097,096 patent/US20020177779A1/en not_active Abandoned
- 2002-03-14 ES ES02707063T patent/ES2365696T3/en not_active Expired - Lifetime
- 2002-03-14 CN CN200810125961XA patent/CN101305906B/en not_active Expired - Lifetime
- 2002-03-14 AT AT02707063T patent/ATE509328T1/en not_active IP Right Cessation
-
2006
- 2006-06-08 JP JP2006160078A patent/JP4504951B2/en not_active Expired - Lifetime
-
2012
- 2012-07-03 US US13/541,111 patent/US8626268B2/en not_active Expired - Fee Related
-
2013
- 2013-10-04 US US14/046,258 patent/US8918164B2/en not_active Expired - Fee Related
-
2014
- 2014-11-17 US US14/543,154 patent/US9364139B2/en not_active Expired - Lifetime
Patent Citations (18)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US3971362A (en) * | 1972-10-27 | 1976-07-27 | The United States Of America As Represented By The Administrator Of The National Aeronautics And Space Administration | Miniature ingestible telemeter devices to measure deep-body temperature |
US4278077A (en) * | 1978-07-27 | 1981-07-14 | Olympus Optical Co., Ltd. | Medical camera system |
US5993378A (en) * | 1980-10-28 | 1999-11-30 | Lemelson; Jerome H. | Electro-optical instruments and methods for treating disease |
US5042494A (en) * | 1985-11-13 | 1991-08-27 | Alfano Robert R | Method and apparatus for detecting cancerous tissue using luminescence excitation spectra |
US4689621A (en) * | 1986-03-31 | 1987-08-25 | The United States Of America As Represented By The Administrator Of The National Aeronautics And Space Administration | Temperature responsive transmitter |
US4844076A (en) * | 1988-08-26 | 1989-07-04 | The Johns Hopkins University | Ingestible size continuously transmitting temperature monitoring pill |
US5279607A (en) * | 1991-05-30 | 1994-01-18 | The State University Of New York | Telemetry capsule and process |
US6095989A (en) * | 1993-07-20 | 2000-08-01 | Hay; Sam H. | Optical recognition methods for locating eyes |
US5604531A (en) * | 1994-01-17 | 1997-02-18 | State Of Israel, Ministry Of Defense, Armament Development Authority | In vivo video camera system |
US5819736A (en) * | 1994-03-24 | 1998-10-13 | Sightline Technologies Ltd. | Viewing method and apparatus particularly useful for viewing the interior of the large intestine |
US5827190A (en) * | 1994-03-28 | 1998-10-27 | Xillix Technologies Corp. | Endoscope having an integrated CCD sensor |
US5830141A (en) * | 1995-09-29 | 1998-11-03 | U.S. Philips Corporation | Image processing method and device for automatic detection of regions of a predetermined type of cancer in an intensity image |
US6166496A (en) * | 1997-08-26 | 2000-12-26 | Color Kinetics Incorporated | Lighting entertainment system |
US6459919B1 (en) * | 1997-08-26 | 2002-10-01 | Color Kinetics, Incorporated | Precision illumination methods and systems |
US6240312B1 (en) * | 1997-10-23 | 2001-05-29 | Robert R. Alfano | Remote-controllable, micro-scale device for use in in vivo medical diagnosis and/or treatment |
US7039453B2 (en) * | 2000-02-08 | 2006-05-02 | Tarun Mullick | Miniature ingestible capsule |
US20020042562A1 (en) * | 2000-09-27 | 2002-04-11 | Gavriel Meron | Immobilizable in vivo sensing device |
US6632175B1 (en) * | 2000-11-08 | 2003-10-14 | Hewlett-Packard Development Company, L.P. | Swallowable data recorder capsule medical device |
Cited By (228)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7822463B2 (en) | 1998-10-22 | 2010-10-26 | Given Imaging Ltd. | Method for delivering a device to a target location |
US6950690B1 (en) | 1998-10-22 | 2005-09-27 | Given Imaging Ltd | Method for delivering a device to a target location |
US10154777B2 (en) * | 1999-03-01 | 2018-12-18 | West View Research, Llc | Computerized information collection and processing apparatus and methods |
US10973397B2 (en) | 1999-03-01 | 2021-04-13 | West View Research, Llc | Computerized information collection and processing apparatus |
US20150150433A1 (en) * | 1999-03-01 | 2015-06-04 | West View Research, Llc | Computerized information collection and processing apparatus and methods |
US10028646B2 (en) | 1999-03-01 | 2018-07-24 | West View Research, Llc | Computerized information collection and processing apparatus |
US10098568B2 (en) | 1999-03-01 | 2018-10-16 | West View Research, Llc | Computerized apparatus with ingestible probe |
US20020146368A1 (en) * | 2000-01-19 | 2002-10-10 | Gavriel Meron | System and method for determining the presence of a substance in-vivo |
US7201872B2 (en) | 2000-01-19 | 2007-04-10 | Given Imaging Ltd. | System and method for determining the presence of a substance in-vivo |
US7998065B2 (en) | 2001-06-18 | 2011-08-16 | Given Imaging Ltd. | In vivo sensing device with a circuit board having rigid sections and flexible sections |
US20040162501A1 (en) * | 2001-06-26 | 2004-08-19 | Imran Mir A. | Capsule and method for treating or diagnosing conditions or diseases of the intestinal tract |
US20040162469A1 (en) * | 2001-06-26 | 2004-08-19 | Imran Mir A. | Optical capsule and spectroscopic method for treating or diagnosing the intestinal tract |
US20110046479A1 (en) * | 2001-06-26 | 2011-02-24 | Imran Mir A | System for marking a location for treatment within the gastrointestinal tract |
US9414768B2 (en) | 2001-06-26 | 2016-08-16 | Entrack, Inc. | Capsule and method for treating or diagnosing conditions or diseases of the intestinal tract |
US8360976B2 (en) | 2001-06-26 | 2013-01-29 | Entrack, Inc. | Optical capsule and spectroscopic method for treating or diagnosing the intestinal tract |
US9456774B2 (en) | 2001-06-26 | 2016-10-04 | Entrack, Inc. | System for marking a location for treatment within the gastrointestinal tract |
US8005536B2 (en) * | 2001-06-26 | 2011-08-23 | Entrack, Inc. | Capsule and method for treating or diagnosing conditions or diseases of the intestinal tract |
US10226608B2 (en) | 2001-06-26 | 2019-03-12 | Entrack, Inc. | Optical capsule and spectroscopic method for treating and diagnosing the intestinal tract |
US8915867B2 (en) | 2001-06-26 | 2014-12-23 | Entrack, Inc. | System for marking a location for treatment within the gastrointestinal tract |
US20040068204A1 (en) * | 2001-06-26 | 2004-04-08 | Imran Mir A. | System for marking a location for treatment within the gastrointestinal tract |
US7160258B2 (en) | 2001-06-26 | 2007-01-09 | Entrack, Inc. | Capsule and method for treating or diagnosing the intestinal tract |
US9167990B2 (en) | 2001-06-26 | 2015-10-27 | Entrack, Inc. | Optical capsule and spectroscopic method for treating and diagnosing the intestinal tract |
US7824347B2 (en) | 2001-06-26 | 2010-11-02 | Entrack, Inc. | System for marking a location for treatment within the gastrointestinal tract |
US8517961B2 (en) | 2001-06-26 | 2013-08-27 | Entrack, Inc. | System for marking a location for treatment within the gastrointestinal tract |
US20050159643A1 (en) * | 2001-07-26 | 2005-07-21 | Ofra Zinaty | In-vivo imaging device providing data compression |
US20030043263A1 (en) * | 2001-07-26 | 2003-03-06 | Arkady Glukhovsky | Diagnostic device using data compression |
US20050187433A1 (en) * | 2001-07-26 | 2005-08-25 | Given Imaging Ltd. | In-vivo imaging device providing constant bit rate transmission |
US9113846B2 (en) | 2001-07-26 | 2015-08-25 | Given Imaging Ltd. | In-vivo imaging device providing data compression |
US7993263B2 (en) | 2001-07-30 | 2011-08-09 | Olympus Corporation | Method and portable device for displaying an image from a capsule type medical device |
US20070142710A1 (en) * | 2001-07-30 | 2007-06-21 | Olympus Corporation | Capsule-type medical device and medical system |
US20070255099A1 (en) * | 2001-07-30 | 2007-11-01 | Olympus Corporation | Capsule-type medical device and medical system |
US20050256372A1 (en) * | 2001-07-30 | 2005-11-17 | Olympus Corporation | Capsule-type medical device and medical system |
US7727145B2 (en) | 2001-07-30 | 2010-06-01 | Olympus Corporation | Capsule-type medical device and medical system |
US20030045790A1 (en) * | 2001-09-05 | 2003-03-06 | Shlomo Lewkowicz | System and method for three dimensional display of body lumens |
US8428685B2 (en) | 2001-09-05 | 2013-04-23 | Given Imaging Ltd. | System and method for magnetically maneuvering an in vivo device |
US20090048484A1 (en) * | 2001-09-05 | 2009-02-19 | Paul Christopher Swain | Device, system and method for magnetically maneuvering an in vivo device |
US8100888B2 (en) | 2001-10-16 | 2012-01-24 | Olympus Corporation | Capsulated medical equipment |
US20070032699A1 (en) * | 2001-10-16 | 2007-02-08 | Olympus Corporation | Capsulated medical equipment |
US7942811B2 (en) | 2001-10-16 | 2011-05-17 | Olympus Corporation | Capsulated medical equipment |
US8022980B2 (en) | 2002-02-12 | 2011-09-20 | Given Imaging Ltd. | System and method for displaying an image stream |
US8045000B2 (en) | 2002-02-12 | 2011-10-25 | Given Imaging, Ltd. | System and method for displaying an image stream |
US20150196195A1 (en) * | 2002-02-12 | 2015-07-16 | Given Imaging Ltd. | System and method for displaying an image stream |
US10070777B2 (en) * | 2002-02-12 | 2018-09-11 | Given Imaging Ltd. | System and method for displaying an image stream |
US7474327B2 (en) * | 2002-02-12 | 2009-01-06 | Given Imaging Ltd. | System and method for displaying an image stream |
US20090135250A1 (en) * | 2002-02-12 | 2009-05-28 | Tal Davidson | System and method for displaying an image stream |
US7505062B2 (en) * | 2002-02-12 | 2009-03-17 | Given Imaging Ltd. | System and method for displaying an image stream |
US20060187300A1 (en) * | 2002-02-12 | 2006-08-24 | Tal Davidson | System and method for displaying an image stream |
US20030151661A1 (en) * | 2002-02-12 | 2003-08-14 | Tal Davidson | System and method for displaying an image stream |
US8982205B2 (en) | 2002-02-12 | 2015-03-17 | Given Imaging Ltd. | System and method for displaying an image stream |
US20040027500A1 (en) * | 2002-02-12 | 2004-02-12 | Tal Davidson | System and method for displaying an image stream |
US20050075555A1 (en) * | 2002-05-09 | 2005-04-07 | Arkady Glukhovsky | System and method for in vivo sensing |
US7662094B2 (en) | 2002-05-14 | 2010-02-16 | Given Imaging Ltd. | Optical head assembly with dome, and device for use thereof |
US7684840B2 (en) | 2002-08-13 | 2010-03-23 | Given Imaging, Ltd. | System and method for in-vivo sampling and analysis |
US8449452B2 (en) | 2002-09-30 | 2013-05-28 | Given Imaging Ltd. | In-vivo sensing system |
US7662093B2 (en) | 2002-09-30 | 2010-02-16 | Given Imaging, Ltd. | Reduced size imaging device |
US7866322B2 (en) | 2002-10-15 | 2011-01-11 | Given Imaging Ltd. | Device, system and method for transfer of signals to a moving device |
US20050288594A1 (en) * | 2002-11-29 | 2005-12-29 | Shlomo Lewkowicz | Methods, device and system for in vivo diagnosis |
US7833151B2 (en) | 2002-12-26 | 2010-11-16 | Given Imaging Ltd. | In vivo imaging device with two imagers |
US7946979B2 (en) | 2002-12-26 | 2011-05-24 | Given Imaging, Ltd. | Immobilizable in vivo sensing device |
US7637865B2 (en) | 2002-12-26 | 2009-12-29 | Given Imaging, Ltd. | In vivo imaging device |
US20100134606A1 (en) * | 2003-03-31 | 2010-06-03 | Dov Avni | Diagnostic device, system and method for reduced data transmission |
US20060262186A1 (en) * | 2003-03-31 | 2006-11-23 | Dov Avni | Diagnostic device, system and method for reduced data transmission |
US7664174B2 (en) | 2003-03-31 | 2010-02-16 | Given Imaging, Ltd. | Diagnostic device, system and method for reduced data transmission |
US20060052708A1 (en) * | 2003-05-01 | 2006-03-09 | Iddan Gavriel J | Panoramic field of view imaging device |
US7801584B2 (en) | 2003-05-01 | 2010-09-21 | Given Imaging Ltd. | Panoramic field of view imaging device |
US7492935B2 (en) | 2003-06-26 | 2009-02-17 | Given Imaging Ltd | Device, method, and system for reduced transmission imaging |
US7604589B2 (en) | 2003-10-01 | 2009-10-20 | Given Imaging, Ltd. | Device, system and method for determining orientation of in-vivo devices |
US20050107666A1 (en) * | 2003-10-01 | 2005-05-19 | Arkady Glukhovsky | Device, system and method for determining orientation of in-vivo devices |
US20050075537A1 (en) * | 2003-10-06 | 2005-04-07 | Eastman Kodak Company | Method and system for real-time automatic abnormality detection for in vivo images |
US20060189843A1 (en) * | 2003-10-27 | 2006-08-24 | Kenji Nakamura | Apparatus, Method, and computer program product for processing image |
US20050094017A1 (en) * | 2003-11-04 | 2005-05-05 | Olympus Corporation | Image display apparatus, image display method, and record medium |
WO2005053518A1 (en) | 2003-12-05 | 2005-06-16 | Olympus Corporation | Display processing device |
EP2649931A2 (en) | 2003-12-05 | 2013-10-16 | Olympus Corporation | Display processing device |
US8368746B2 (en) | 2003-12-05 | 2013-02-05 | Olympus Corporation | Apparatus and method for processing image information captured over time at plurality of positions in subject body |
US20060202998A1 (en) * | 2003-12-05 | 2006-09-14 | Olympus Corporation | Display processor |
US20050137468A1 (en) * | 2003-12-18 | 2005-06-23 | Jerome Avron | Device, system, and method for in-vivo sensing of a substance |
US7647090B1 (en) | 2003-12-30 | 2010-01-12 | Given Imaging, Ltd. | In-vivo sensing device and method for producing same |
US9072442B2 (en) | 2003-12-31 | 2015-07-07 | Given Imaging Ltd. | System and method for displaying an image stream |
US20060164511A1 (en) * | 2003-12-31 | 2006-07-27 | Hagal Krupnik | System and method for displaying an image stream |
US8164672B2 (en) * | 2003-12-31 | 2012-04-24 | Given Imaging Ltd. | System and method for displaying an image stream |
US20070230893A1 (en) * | 2003-12-31 | 2007-10-04 | Gavriel Meron | System and Method for Displaying an Image Stream |
US8142350B2 (en) | 2003-12-31 | 2012-03-27 | Given Imaging, Ltd. | In-vivo sensing device with detachable part |
US20050215911A1 (en) * | 2004-01-16 | 2005-09-29 | The City College Of The University Of New York | Micro-scale compact device for in vivo medical diagnosis combining optical imaging and point fluorescence spectroscopy |
US8082024B2 (en) * | 2004-01-16 | 2011-12-20 | Alfano Robert R | Micro-scale compact device for in vivo medical diagnosis combining optical imaging and point fluorescence spectroscopy |
US20070173692A1 (en) * | 2004-03-01 | 2007-07-26 | Masatoshi Homan | Endoscope image pick-up apparatus |
US8182420B2 (en) * | 2004-03-01 | 2012-05-22 | Olympus Corporation | Endoscope image pick-up apparatus |
US20050196023A1 (en) * | 2004-03-01 | 2005-09-08 | Eastman Kodak Company | Method for real-time remote diagnosis of in vivo images |
US7938775B2 (en) | 2004-06-28 | 2011-05-10 | Given Imaging, Ltd. | Device, system, and method for in-vivo analysis |
US20080294023A1 (en) * | 2004-06-28 | 2008-11-27 | Elisha Rabinovitz | Device, System, and Method for In-Vivo Analysis |
US7596403B2 (en) | 2004-06-30 | 2009-09-29 | Given Imaging Ltd. | System and method for determining path lengths through a body lumen |
US7865229B2 (en) | 2004-06-30 | 2011-01-04 | Given Imaging, Ltd. | System and method for determining path lengths through a body lumen |
US20060034514A1 (en) * | 2004-06-30 | 2006-02-16 | Eli Horn | Device, system, and method for reducing image data captured in-vivo |
US7643865B2 (en) | 2004-06-30 | 2010-01-05 | Given Imaging Ltd. | Autonomous in-vivo device |
US7336833B2 (en) | 2004-06-30 | 2008-02-26 | Given Imaging, Ltd. | Device, system, and method for reducing image data captured in-vivo |
US9968290B2 (en) | 2004-06-30 | 2018-05-15 | Given Imaging Ltd. | Apparatus and methods for capsule endoscopy of the esophagus |
US8500630B2 (en) | 2004-06-30 | 2013-08-06 | Given Imaging Ltd. | In vivo device with flexible circuit board and method for assembly thereof |
US20110060189A1 (en) * | 2004-06-30 | 2011-03-10 | Given Imaging Ltd. | Apparatus and Methods for Capsule Endoscopy of the Esophagus |
US20090135249A1 (en) * | 2004-08-18 | 2009-05-28 | Katsumi Hirakawa | Image display apparatus, image display method, and image display program |
US7986337B2 (en) | 2004-09-27 | 2011-07-26 | Given Imaging Ltd. | System and method for editing an image stream captured in vivo |
US20060074275A1 (en) * | 2004-09-27 | 2006-04-06 | Tal Davidson | System and method for editing an image stream captured in vivo |
US20060095093A1 (en) * | 2004-11-04 | 2006-05-04 | Ido Bettesh | Apparatus and method for receiving device selection and combining |
US20060106318A1 (en) * | 2004-11-15 | 2006-05-18 | Tal Davidson | System and method for displaying an image stream |
US8204573B2 (en) * | 2004-11-15 | 2012-06-19 | Given Imaging Ltd. | System and method for displaying an image stream |
US20090093676A1 (en) * | 2004-11-15 | 2009-04-09 | Tal Davidson | System and method for displaying an image stream |
US7486981B2 (en) | 2004-11-15 | 2009-02-03 | Given Imaging Ltd. | System and method for displaying an image stream |
US8738106B2 (en) | 2005-01-31 | 2014-05-27 | Given Imaging, Ltd | Device, system and method for in vivo analysis |
US20080146896A1 (en) * | 2005-01-31 | 2008-06-19 | Elisha Rabinowitz | Device, system and method for in vivo analysis |
US20110299748A1 (en) * | 2005-02-15 | 2011-12-08 | Olympus Corporation | Medical image processing apparatus, luminal image processing apparatus, luminal image processing method, and programs for the same |
US20060217593A1 (en) * | 2005-03-24 | 2006-09-28 | Zvika Gilad | Device, system and method of panoramic multiple field of view imaging |
US20090216082A1 (en) * | 2005-04-01 | 2009-08-27 | Elisha Rabinovitz | Device, System and Method for In Vivo Magnetic Immunoassay Analysis |
US20060253004A1 (en) * | 2005-04-06 | 2006-11-09 | Mordechai Frisch | System and method for performing capsule endoscopy diagnosis in remote sites |
US7907775B2 (en) * | 2005-04-27 | 2011-03-15 | Olympus Medical Systems Corp. | Image processing apparatus, image processing method and image processing program |
US8204287B2 (en) * | 2005-04-27 | 2012-06-19 | Olympus Medical Systems Corp. | Image processing apparatus, image processing method and image processing program |
US20100316273A1 (en) * | 2005-04-27 | 2010-12-16 | Olympus Medical Systems Corp. | Image processing apparatus, image processing method and image processing program |
US20090196495A1 (en) * | 2005-04-27 | 2009-08-06 | Ryoko Inoue | Image processing apparatus, image processing method and image processing program |
US20080212881A1 (en) * | 2005-05-20 | 2008-09-04 | Olympus Medical Systems Corp. | Image Display Apparatus |
US8830307B2 (en) * | 2005-05-20 | 2014-09-09 | Olympus Medical Systems Corp. | Image display apparatus |
US20070195165A1 (en) * | 2005-05-20 | 2007-08-23 | Olympus Medical Systems Corp. | Image display apparatus |
US8502861B2 (en) * | 2005-05-20 | 2013-08-06 | Olympus Medical Systems Corp. | Image display apparatus |
US8581973B2 (en) * | 2005-06-01 | 2013-11-12 | Olympus Medical Systems Corp. | Endoscopic diagnosis support method, endoscopic diagnosis support apparatus and endoscopic diagnosis support program |
US20070135715A1 (en) * | 2005-06-01 | 2007-06-14 | Olympus Medical Systems Corp. | Endoscopic diagnosis support method, endoscopic diagnosis support apparatus and endoscopic diagnosis support program |
US9135701B2 (en) * | 2005-09-12 | 2015-09-15 | Dvp Technologies Ltd. | Medical image processing |
US8472682B2 (en) * | 2005-09-12 | 2013-06-25 | Dvp Technologies Ltd. | Medical image processing |
WO2007031946A3 (en) * | 2005-09-12 | 2007-09-07 | Dvp Technologies Ltd | Medical image processing |
US20100158330A1 (en) * | 2005-09-12 | 2010-06-24 | Dvp Technologies Ltd. | Medical Image Processing |
US20130279776A1 (en) * | 2005-09-12 | 2013-10-24 | Dvp Technologies Ltd. | Medical image processing |
US20070066875A1 (en) * | 2005-09-18 | 2007-03-22 | Eli Horn | System and method for identification of images in an image database |
US20070090298A1 (en) * | 2005-10-20 | 2007-04-26 | Yiping Shao | Method To Determine The Depth-Of-Interaction Function For PET Detectors |
US9320417B2 (en) | 2005-12-29 | 2016-04-26 | Given Imaging Ltd. | In-vivo optical imaging device with backscatter blocking |
US20070167834A1 (en) * | 2005-12-29 | 2007-07-19 | Amit Pascal | In-vivo imaging optical device and method |
US20070167840A1 (en) * | 2005-12-29 | 2007-07-19 | Amit Pascal | Device and method for in-vivo illumination |
US20070156051A1 (en) * | 2005-12-29 | 2007-07-05 | Amit Pascal | Device and method for in-vivo illumination |
US20110044515A1 (en) * | 2006-03-13 | 2011-02-24 | Panagiota Spyridonos | Device, system and method for automatic detection of contractile activity in an image frame |
US8441530B2 (en) | 2006-03-13 | 2013-05-14 | Given Imaging Ltd. | Cascade analysis for intestinal contraction detection |
US8396327B2 (en) | 2006-03-13 | 2013-03-12 | Given Imaging Ltd. | Device, system and method for automatic detection of contractile activity in an image frame |
US20090284589A1 (en) * | 2006-03-13 | 2009-11-19 | Petia Radeva | Cascade analysis for intestinal contraction detection |
AU2007201418B2 (en) * | 2006-03-31 | 2012-02-02 | Given Imaging Ltd | System and method for assessing a patient condition |
US20070255095A1 (en) * | 2006-03-31 | 2007-11-01 | Gilreath Mark G | System and method for assessing a patient condition |
EP1847940A3 (en) * | 2006-03-31 | 2011-10-05 | Given Imaging Ltd. | System for assessing a patient condition and method for processing related data |
US8185185B2 (en) | 2006-03-31 | 2012-05-22 | Given Imaging Ltd. | System and method for assessing a patient condition using tertiles derived from capsule endoscope images of the small bowel |
EP1847940A2 (en) | 2006-03-31 | 2007-10-24 | Given Imaging Ltd. | System for assessing a patient condition and method for processing related data |
US8663093B2 (en) | 2006-04-03 | 2014-03-04 | Given Imaging Ltd. | Device, system and method for in-vivo analysis |
US20090318766A1 (en) * | 2006-04-03 | 2009-12-24 | Elisha Rabinovitz | Device, system and method for in-vivo analysis |
US20070266680A1 (en) * | 2006-04-12 | 2007-11-22 | Branofilter Gmbh | Device for detachably securing a dust filter bag in dust aspirating equipment |
EP1862109A3 (en) * | 2006-06-01 | 2008-09-24 | FUJIFILM Corporation | Capsule endoscopic system and image processing apparatus |
US20090202117A1 (en) * | 2006-06-12 | 2009-08-13 | Fernando Vilarino | Device, system and method for measurement and analysis of contractile activity |
US8335362B2 (en) | 2006-06-12 | 2012-12-18 | Given Imaging Ltd. | Device, system and method for measurement and analysis of contractile activity |
WO2008007172A1 (en) * | 2006-07-11 | 2008-01-17 | Stanley Kim | Test preparation device |
US8615284B2 (en) | 2006-09-06 | 2013-12-24 | Innurvation, Inc. | Method for acoustic information exchange involving an ingestible low power capsule |
US8512241B2 (en) | 2006-09-06 | 2013-08-20 | Innurvation, Inc. | Methods and systems for acoustic data transmission |
US9900109B2 (en) | 2006-09-06 | 2018-02-20 | Innurvation, Inc. | Methods and systems for acoustic data transmission |
US10320491B2 (en) | 2006-09-06 | 2019-06-11 | Innurvation Inc. | Methods and systems for acoustic data transmission |
US20080114224A1 (en) * | 2006-09-06 | 2008-05-15 | Innuravation Llc | Methods and systems for acoustic data transmission |
US8588887B2 (en) | 2006-09-06 | 2013-11-19 | Innurvation, Inc. | Ingestible low power sensor device and system for communicating with same |
US20080285826A1 (en) * | 2007-05-17 | 2008-11-20 | Olympus Medical Systems Corp. | Display processing apparatus of image information and display processing method of image information |
WO2008142831A1 (en) | 2007-05-17 | 2008-11-27 | Olympus Medical Systems Corp. | Image information display processing device and display processing method |
US8225209B2 (en) | 2007-05-29 | 2012-07-17 | Olympus Medical Systems Corp. | Capsule endoscope image display device |
US20090003732A1 (en) * | 2007-06-27 | 2009-01-01 | Olympus Medical Systems Corp. | Display processing apparatus for image information |
US8413079B2 (en) | 2007-06-27 | 2013-04-02 | Olympus Medical Systems Corp. | Display processing apparatus for image information |
US9197470B2 (en) | 2007-10-05 | 2015-11-24 | Innurvation, Inc. | Data transmission via multi-path channels using orthogonal multi-frequency signals with differential phase shift keying modulation |
US9769004B2 (en) | 2007-10-05 | 2017-09-19 | Innurvation, Inc. | Data transmission via multi-path channels using orthogonal multi-frequency signals with differential phase shift keying modulation |
US20090105532A1 (en) * | 2007-10-22 | 2009-04-23 | Zvika Gilad | In vivo imaging device and method of manufacturing thereof |
US20100329520A2 (en) * | 2007-11-08 | 2010-12-30 | Olympus Medical Systems Corp. | Method and System for Correlating Image and Tissue Characteristic Data |
US20090124853A1 (en) * | 2007-11-08 | 2009-05-14 | Kazuhiro Gono | Capsule Blood Detection System and Method |
US9131847B2 (en) | 2007-11-08 | 2015-09-15 | Olympus Corporation | Method and apparatus for detecting abnormal living tissue |
US9017248B2 (en) | 2007-11-08 | 2015-04-28 | Olympus Medical Systems Corp. | Capsule blood detection system and method |
US20090306522A1 (en) * | 2007-11-08 | 2009-12-10 | Kazuhiro Gono | Method and Apparatus for Detecting Abnormal Living Tissue |
US20090123043A1 (en) * | 2007-11-08 | 2009-05-14 | Kazuhiro Gono | Method and System for Correlating Image and Tissue Characteristic Data |
US20100268025A1 (en) * | 2007-11-09 | 2010-10-21 | Amir Belson | Apparatus and methods for capsule endoscopy of the esophagus |
US9974430B2 (en) | 2008-02-12 | 2018-05-22 | Innurvation, Inc. | Ingestible endoscopic optical scanning device |
US8529441B2 (en) | 2008-02-12 | 2013-09-10 | Innurvation, Inc. | Ingestible endoscopic optical scanning device |
US20100016662A1 (en) * | 2008-02-21 | 2010-01-21 | Innurvation, Inc. | Radial Scanner Imaging System |
US20100324371A1 (en) * | 2008-03-24 | 2010-12-23 | Olympus Corporation | Capsule medical device, method for operating the same, and capsule medical device system |
US8328713B2 (en) * | 2008-03-24 | 2012-12-11 | Olympus Corporation | Capsule medical device, method for operating the same, and capsule medical device system |
US8515507B2 (en) | 2008-06-16 | 2013-08-20 | Given Imaging Ltd. | Device and method for detecting in-vivo pathology |
US9351632B2 (en) | 2008-07-09 | 2016-05-31 | Innurvation, Inc. | Displaying image data from a scanner capsule |
US9788708B2 (en) | 2008-07-09 | 2017-10-17 | Innurvation, Inc. | Displaying image data from a scanner capsule |
US8617058B2 (en) | 2008-07-09 | 2013-12-31 | Innurvation, Inc. | Displaying image data from a scanner capsule |
US8768017B2 (en) * | 2008-11-07 | 2014-07-01 | Olympus Corporation | Image processing apparatus, computer readable recording medium storing therein image processing program, and image processing method |
US20100119110A1 (en) * | 2008-11-07 | 2010-05-13 | Olympus Corporation | Image display device, computer readable storage medium storing image processing program, and image processing method |
US9078579B2 (en) | 2009-06-24 | 2015-07-14 | Given Imaging Ltd. | In vivo sensing device with a flexible circuit board |
US8516691B2 (en) | 2009-06-24 | 2013-08-27 | Given Imaging Ltd. | Method of assembly of an in vivo imaging device with a flexible circuit board |
US20110097690A1 (en) * | 2009-10-22 | 2011-04-28 | Perry Franklin Samuel-Cutts | Training system for surfing and method of use |
US10092185B2 (en) * | 2009-10-27 | 2018-10-09 | Innurvation Inc. | Data transmission via wide band acoustic channels |
US9192353B2 (en) | 2009-10-27 | 2015-11-24 | Innurvation, Inc. | Data transmission via wide band acoustic channels |
US20110164126A1 (en) * | 2010-01-05 | 2011-07-07 | Iddo Ambor | System and method for displaying an image stream captured in-vivo |
US8446465B2 (en) | 2010-01-05 | 2013-05-21 | Given Imaging Ltd. | System and method for displaying an image stream captured in-vivo |
US8682142B1 (en) | 2010-03-18 | 2014-03-25 | Given Imaging Ltd. | System and method for editing an image stream captured in-vivo |
US8647259B2 (en) | 2010-03-26 | 2014-02-11 | Innurvation, Inc. | Ultrasound scanning capsule endoscope (USCE) |
US9480459B2 (en) | 2010-03-26 | 2016-11-01 | Innurvation, Inc. | Ultrasound scanning capsule endoscope |
US10101890B2 (en) | 2010-04-28 | 2018-10-16 | Given Imaging Ltd. | System and method for displaying portions of in-vivo images |
US9060673B2 (en) | 2010-04-28 | 2015-06-23 | Given Imaging Ltd. | System and method for displaying portions of in-vivo images |
US20120008839A1 (en) * | 2010-07-07 | 2012-01-12 | Olympus Corporation | Image processing apparatus, method of processing image, and computer-readable recording medium |
US8989467B2 (en) * | 2010-07-07 | 2015-03-24 | Olympus Corporation | Image processing apparatus, method and computer readable recording medium for detecting abnormal area based on difference between pixel value and reference surface |
US20120274743A1 (en) * | 2010-11-08 | 2012-11-01 | Olympus Medical Systems Corp. | Image display device and capsule endoscope system |
US8711205B2 (en) * | 2010-11-08 | 2014-04-29 | Olympus Medical Systems Corp. | Image display device and capsule endoscope system |
US8913807B1 (en) | 2010-12-30 | 2014-12-16 | Given Imaging Ltd. | System and method for detecting anomalies in a tissue imaged in-vivo |
US8873816B1 (en) | 2011-04-06 | 2014-10-28 | Given Imaging Ltd. | Method and system for identification of red colored pathologies in vivo |
US8929629B1 (en) * | 2011-06-29 | 2015-01-06 | Given Imaging Ltd. | Method and system for image-based ulcer detection |
EP2565846A1 (en) * | 2011-08-31 | 2013-03-06 | Olympus Corporation | Intraluminal lesion detection by classifying pixel colours |
US8948479B2 (en) | 2011-08-31 | 2015-02-03 | Olympus Corporation | Image processing device, image processing method and computer readable recording device |
US20140213871A1 (en) * | 2011-10-06 | 2014-07-31 | Olympus Corporation | Fluorescence observation apparatus |
US9687158B2 (en) * | 2011-10-06 | 2017-06-27 | Olympus Corporation | Fluorescence observation apparatus |
US8923585B1 (en) * | 2012-01-31 | 2014-12-30 | Given Imaging Ltd. | Method and system for image-based ulcer detection |
US9430833B2 (en) | 2012-07-17 | 2016-08-30 | Hoya Corporation | Image processing device and endoscope device |
EP2875775A4 (en) * | 2012-07-17 | 2016-04-27 | Hoya Corp | Image processing device and endoscopic instrument |
EP3603510A1 (en) * | 2012-07-25 | 2020-02-05 | Intuitive Surgical Operations Inc. | Efficient and interactive bleeding detection in a surgical system |
CN107485455A (en) * | 2012-07-25 | 2017-12-19 | 直观外科手术操作公司 | Effective interactive bleeding detection in surgery systems |
EP4186422A1 (en) * | 2012-07-25 | 2023-05-31 | Intuitive Surgical Operations, Inc. | Efficient and interactive bleeding detection in a surgical system |
US20140031659A1 (en) * | 2012-07-25 | 2014-01-30 | Intuitive Surgical Operations, Inc. | Efficient and interactive bleeding detection in a surgical system |
US10772482B2 (en) | 2012-07-25 | 2020-09-15 | Intuitive Surgical Operations, Inc. | Efficient and interactive bleeding detection in a surgical system |
US9877633B2 (en) * | 2012-07-25 | 2018-01-30 | Intuitive Surgical Operations, Inc | Efficient and interactive bleeding detection in a surgical system |
EP2877116A4 (en) * | 2012-07-25 | 2016-04-13 | Intuitive Surgical Operations | Efficient and interactive bleeding detection in a surgical system |
US9324145B1 (en) | 2013-08-08 | 2016-04-26 | Given Imaging Ltd. | System and method for detection of transitions in an image stream of the gastrointestinal tract |
US10070932B2 (en) | 2013-08-29 | 2018-09-11 | Given Imaging Ltd. | System and method for maneuvering coils power optimization |
US9430706B1 (en) | 2013-10-02 | 2016-08-30 | Given Imaging Ltd. | System and method for detection of in-vivo pathology sequences |
WO2015087332A2 (en) | 2013-12-11 | 2015-06-18 | Given Imaging Ltd. | System and method for controlling the display of an image stream |
US11609689B2 (en) | 2013-12-11 | 2023-03-21 | Given Imaging Ltd. | System and method for controlling the display of an image stream |
US11947786B2 (en) | 2013-12-11 | 2024-04-02 | Given Imaging Ltd. | System and method for controlling the display of an image stream |
US9633276B2 (en) * | 2014-07-14 | 2017-04-25 | Sony Corporation | Blood detection system with real-time capability and method of operation thereof |
US20170273543A1 (en) * | 2015-08-13 | 2017-09-28 | Hoya Corporation | Evaluation value calculation device and electronic endoscope system |
US11559186B2 (en) | 2015-08-13 | 2023-01-24 | Hoya Corporation | Evaluation value calculation device and electronic endoscope system |
US11571108B2 (en) | 2015-08-13 | 2023-02-07 | Hoya Corporation | Evaluation value calculation device and electronic endoscope system |
US20170280971A1 (en) * | 2015-08-13 | 2017-10-05 | Hoya Corporation | Evaluation value calculation device and electronic endoscope system |
US10572997B2 (en) | 2015-12-18 | 2020-02-25 | Given Imaging Ltd. | System and method for detecting anomalies in an image captured in-vivo using color histogram association |
US20210366120A1 (en) * | 2020-05-25 | 2021-11-25 | Hitachi, Ltd. | Medical image processing apparatus, and medical imaging apparatus |
CN113712594A (en) * | 2020-05-25 | 2021-11-30 | 株式会社日立制作所 | Medical image processing apparatus and medical imaging apparatus |
US11526991B2 (en) * | 2020-05-25 | 2022-12-13 | Fujifilm Healthcare Corporation | Medical image processing apparatus, and medical imaging apparatus |
Also Published As
Publication number | Publication date |
---|---|
US20150141782A1 (en) | 2015-05-21 |
WO2002073507A9 (en) | 2003-01-23 |
US20120275683A1 (en) | 2012-11-01 |
AU2002241215A1 (en) | 2002-09-24 |
CN100469308C (en) | 2009-03-18 |
EP1372474A4 (en) | 2007-02-28 |
US9364139B2 (en) | 2016-06-14 |
WO2002073507A3 (en) | 2003-10-23 |
CN101305906B (en) | 2012-02-08 |
JP2004521693A (en) | 2004-07-22 |
WO2002073507A2 (en) | 2002-09-19 |
US8918164B2 (en) | 2014-12-23 |
EP1372474A2 (en) | 2004-01-02 |
JP2006297118A (en) | 2006-11-02 |
US8626268B2 (en) | 2014-01-07 |
JP4504951B2 (en) | 2010-07-14 |
US20140039287A1 (en) | 2014-02-06 |
CN101305906A (en) | 2008-11-19 |
EP1372474B1 (en) | 2011-05-11 |
ATE509328T1 (en) | 2011-05-15 |
ES2365696T3 (en) | 2011-10-10 |
JP4067407B2 (en) | 2008-03-26 |
IL157892A0 (en) | 2004-03-28 |
CN1509152A (en) | 2004-06-30 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US9364139B2 (en) | Method and system for detecting colorimetric abnormalities in vivo | |
US7567692B2 (en) | System and method for detecting content in-vivo | |
US7577283B2 (en) | System and method for detecting content in-vivo | |
US7319781B2 (en) | Method and system for multiple passes diagnostic alignment for in vivo images | |
US9113787B2 (en) | Electronic endoscope system | |
US8055033B2 (en) | Medical image processing apparatus, luminal image processing apparatus, luminal image processing method, and programs for the same | |
US7751622B2 (en) | Method and system for detection of undesirable images | |
US20050075537A1 (en) | Method and system for real-time automatic abnormality detection for in vivo images | |
US20130030268A1 (en) | Endoscope system and method for controlling the same | |
EP2286713B1 (en) | Signal processing system and signal processing program | |
US20120328175A1 (en) | Fluoroscopy apparatus | |
US9468381B2 (en) | Diagnostic system | |
JP2001037718A (en) | Image diagnostic device and endoscope device | |
US10646102B2 (en) | Processor for electronic endoscope, and electronic endoscope system | |
JP2003220019A (en) | Image diagnostic equipment and endoscopic equipment | |
JP2003204925A (en) | Image diagnostic device and endoscope system |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
AS | Assignment |
Owner name: GIVEN IMAGING LTD., ISRAEL Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNORS:ADLER, DORON;ZINATI, OFRA;LEVY, DAPHNA;AND OTHERS;REEL/FRAME:013139/0421 Effective date: 20020627 |
|
AS | Assignment |
Owner name: GIVEN IMAGING LTD., ISRAEL Free format text: CORRECTIVE ASSIGNMENT TO CORRECT THE ASSIGNOR'S EXECUTION DATE, PREVIOUSLY RECORDED AT REEL NO. 013139, FRAME NO.;ASSIGNORS:ADLER, DORON;ZINATI, OFRA;LEVY, DAPHNA;AND OTHERS;REEL/FRAME:013526/0551;SIGNING DATES FROM 20020617 TO 20020627 |
|
STCB | Information on status: application discontinuation |
Free format text: EXPRESSLY ABANDONED -- DURING EXAMINATION |