# US 2019/0244351 A1 · Systems and methods for assessment and monitoring of a mucosal disease in a subject's gastrointestinal tract > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2019/0244351 A1 - Document ID: US20190244351A1 - Status: Published application - Kind: A1 - Application number: 16/314,021 - Filed: 2018-06-29 - Published: 2019-08-08 - Earliest claimed: 2016-06-30 - Assignees: Given Imaging Ltd. - Applicants: Given Imaging Ltd. - Inventors: Inessa DOLNIK; Orit ELKAYAM; Assaf STEIN; Alon LAPIDUS - Web page: https://patentgrep.com/patent/US20190244351A1 ## CPC - A61B 1/000094: {extracting biological structures} - A61B 1/00009: {of image signals during a use of endoscope} - A61B 1/041: {Capsule endoscopes for imaging} - A61B 5/0066: {Optical coherence imaging} - A61B 5/0073: {by tomography, i.e. reconstruction of 3D images from 2D projections (A61B5/0066 takes precedence)} - A61B 5/07: Endoradiosondes - A61B 5/073: {Intestinal transmitters} - A61B 5/42: {Detecting, measuring or recording for evaluating the gastrointestinal, the endocrine or the exocrine systems (A61B1/00, A61B5/4857, A61B5/486, A61B5/4866, A61B5/4869 take precedence)} - A61B 5/6861: {Capsules, e.g. for swallowing or implanting} - G06T 7/0012: {Biomedical image inspection} - G06T 7/11: Region-based segmentation - G16H 10/60: for patient-specific data, e.g. for electronic patient records - G16H 30/40: for processing medical images, e.g. editing - A61B 5/0031: {Implanted circuitry} - A61B 5/4836: {Diagnosis combined with treatment in closed-loop systems or methods (A61B5/0036 takes precedence)} - G06T 2207/10016: Video; Image sequence - G06T 2207/10068: Endoscopic image - G06T 2207/30028: Colon; Small intestine - G06T 2207/30092: Stomach; Gastric - A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D) - G06T: IMAGE DATA PROCESSING OR GENERATION, IN GENERAL - G16H: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA ## Abstract A computerized-method for a mucosal assessment of a mucosal disease in a Gastrointestinal Tract (GIT) of a subject, including receiving a stream of images of at least a portion of the GIT, parsing the stream into a plurality of segments, wherein each segment corresponds to a region of the at least portion of the GIT, obtaining a set of values for each segment, wherein the set of values refers to the pathological involvement of the segment in the mucosal disease and to severity of mucosal manifestation of the mucosal disease in the segment, and based on said set of values for each segment, generating a representation indicating the location and severity of the mucosal manifestation of the mucosal disease in the entirety of the at least portion of the subject's GIT, thereby allowing to assess the condition of the mucosal disease in the at least portion of the GIT. ## Claims ### Claim 1 A computerized-method for a mucosal assessment of a mucosal disease in a Gastrointestinal Tract (GIT) of a subject, the method comprising: receiving a stream of images of at least a portion of the subject's GIT; parsing the stream of images into a plurality of segments, wherein each segment corresponds to a region of the at least portion of the subject's GIT; obtaining a set of values for each of said segments, wherein the set of values refers to the pathological involvement of the segment in the mucosal disease and to severity of mucosal manifestation of the mucosal disease in the segment; and based on said set of values for each segment, generating a representation indicating the location and severity of the mucosal manifestation of the mucosal disease in the entirety of the at least portion of the subject's GIT, thereby allowing to assess the condition of the mucosal disease in the at least portion of the subject's GIT. ### Claim 2 (depends on 1) The computerized-method of claim 1, further comprising: displaying to a user said stream of images while indicating said segments or GIT regions in said displayed stream of images; and directing said user to input one or more values of said set of values for each of said segments, wherein the GIT regions are of a substantially equal length. ### Claim 3 (depends on 2) The computerized-method of claim 2, wherein the directing of said user to input said one or more values for each of said segments is performed during or immediately after its display and prior to the display of the next segment. ### Claim 4 (depends on 1) The computerized-method of claim 1, wherein the at least portion of the GIT comprises the small bowel and the colon. ### Claim 5 (depends on 4) The computerized-method of claim 4, wherein the stream of images is parsed into four segments corresponding to three regions of the small bowel and the colon. ### Claim 6 (depends on 1) The computerized-method of claim 1, wherein the set of values obtained for each segment comprises: i) a value indicating the highest degree of severity of the mucosal manifestation in the segment, ii) a value indicating the common degree of severity of the mucosal manifestation in the segment, and iii) a value indicating the extent of the mucosal manifestation in the segment. ### Claim 7 (depends on 6) The computerized-method of claim 6, wherein the extent value of a mucosal manifestation indicates the portion of the tissue surface of the respective GI region displaying mucosal manifestation. ### Claim 8 (depends on 1) The computerized-method of claim 1, wherein the stream of images is captured by a capsule endoscope and wherein the at least portion of the stream of images is parsed into a plurality of segments via a computerized assessment of the capsule endoscope's progress through the subject's GIT. ### Claim 9 (depends on 1) The computerized-method of claim 1, wherein the representation comprises an anatomical graphical representation of the at least portion of the GIT depicting each of its GIT regions and one or more values of the obtained set of values for each of said GIT regions. ### Claim 10 (depends on 1) The computerized-method of claim 1, wherein the obtaining of the set of values for each of said segments comprises identifying mucosal manifestation of the mucosal disease in said each of said segments. ### Claim 11 (depends on 1) The computerized-method of claim 1, wherein the obtaining of the set of values for each of said segments comprises calculating one or more values of the set of values for each of said segments. ### Claim 12 (depends on 1) The computerized-method of claim 1, wherein the set of values further refer to the pathological involvement of one or more portions of interest of the GIT. ### Claim 13 (depends on 1) A computerized-method for monitoring a mucosal disease in a subject's GastroIntestinal Tract (GIT), the computerized method comprising: obtaining a plurality of representations indicating the location and severity of mucosal manifestation of the mucosal disease in at least a portion of the subject's GIT, wherein each representation of the plurality of representations is generated according to the computerized-method of claim 1, and wherein each representation of the plurality of representations is based on a stream of images captured in the subject's GIT during a procedure having a unique date; and displaying the plurality of representations of the at least portion of the subject's GIT in an adjacent manner; and tagging each representation with its corresponding unique date, thereby allowing a user to monitor the condition of the mucosal disease through time. ### Claim 14 (depends on 13) The computerized-method of claim 13 wherein each representation comprises an anatomical graphical representation of the at least portion of the GIT depicting each of its GIT regions and one or more values of the obtained set of values for each of said GIT regions, and wherein the anatomical graphical representations are displayed along a timeline according to their corresponding unique dates. ### Claim 15 (depends on 14) The computerized-method of claim 14 further comprising: receiving medical treatment history data for the subject comprising a treatment start and stop data; displaying the plurality of representations along a timeline according to their corresponding unique dates; and displaying along the timeline at least a portion of the medical treatment history data. ### Claim 16 (depends on 15) The computerized-method of claim 15, wherein the medical treatment history data comprises medication prescribed to the subject. ### Claim 17 (depends on 1) The computerized-method of claim 1, wherein the GIT regions are of a substantially equal length. ### Claim 18 A computerized-method for a mucosal assessment of a mucosal disease in a Gastrointestinal Tract (GIT) of a subject, the method comprising: receiving a stream of images of at least a portion of the subject's GIT; parsing the stream of images into a plurality of segments, wherein each segment corresponds to a region of the at least portion of the subject's GIT, and wherein the GIT regions are of a substantially equal length; receiving a set of values for each of said segments from a user, wherein the set of values refers to the pathological involvement of the segment in the mucosal disease and to severity of mucosal manifestation of the mucosal disease in the segment; and based on said set of values for each segment, generating a representation indicating the location and severity of the mucosal manifestation of the mucosal disease in the entirety of the at least portion of the subject's GIT, thereby allowing to assess the condition of the mucosal disease in the at least portion of the subject's GIT. ### Claim 19 A system for a mucosal assessment of a mucosal disease in a Gastrointestinal Tract (GIT) of a subject, the system comprising: a storage device having stored thereon instructions for: receiving a stream of images of at least a portion of the subject's GIT; parsing the stream of images into a plurality of segments, wherein each segment corresponds to a region of the at least portion of the subject's GIT; obtaining a set of values for each of said segments, wherein the set of values refers to the pathological involvement of the segment in the mucosal disease and to severity of mucosal manifestation of the mucosal disease in the segment; and based on said set of values for each segment, generating a representation indicating the location and severity of the mucosal manifestation of the mucosal disease in the entirety of the at least portion of the subject's GIT; at least one hardware processor configured to execute said instructions; and a display configured to display the generated representation.