# US 7,992,100 B2 · Dynamic slabbing to render views of medical image data > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 7,992,100 B2 - Document ID: US7992100B2 - Status: Granted - Kind: B2 - Application number: 11/956,422 - Filed: 2007-12-14 - Published: 2008-06-26 - Granted: 2011-08-02 - Earliest claimed: 2006-12-21 - Assignees: Sectra AB - Inventors: Claes Lundström; Per Anell; Fredrik Häll; Jonas Rehn; Regina Rosander - Web page: https://patentgrep.com/patent/US7992100B2 ## CPC - G16H 40/63: for local operation - G16H 30/40: for processing medical images, e.g. editing - G16H 50/20: for computer-aided diagnosis, e.g. based on medical expert systems - Y10S 128/92: Computer assisted medical diagnostics - Y10S 128/922: including image analysis - G16H: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA - Y10S: TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS ## Abstract Systems and methods for generating images of respective patients from multi-dimensional medical image data sets include a processor circuit in communication with a display having a graphic user interface (GUI), the processor circuit configured to define at least one grouping of a subset of slices selected from slices in a medical data stack, then generate and display at least one slabbed view based on the at least one grouping of slices. ## Claims ### Claim 1 An interactive visualization system for generating images of respective patients from multi-dimensional medical image data sets, comprising: a processor circuit in communication with a display having a graphic user interface (GUI), the processor circuit configured to employ Computer Aided Detection (CAD) to electronically analyze and identify suspected abnormalities in slices of the medical image data stack to automatically define at least one grouping of a subset of slices selected from slices in a medical data stack based on data from the CAD identification, then generate and display at least one slabbed view of a part of the data set within a volumetric region defined by the at least one grouping of slices with suspected abnormalities. ### Claim 2 (depends on 1) A system according to claim 1, wherein the medical image data set comprises a tomosynthesis mammography data set. ### Claim 3 (depends on 2) A system according to claim 2, wherein the circuit is configured to generate a grouping of slices using CAD to identify clusters of microcalcifications such that each cluster is substantially entirely within a single grouping. ### Claim 4 (depends on 1) A system according to claim 1, wherein the circuit is configured to generate a plurality of different initial groupings of the image slices and display a plurality of slabbed views of the initial groupings. ### Claim 5 (depends on 4) A system according to claim 4, wherein the number of slices in a respective initial grouping of slices is less where there is at least one CAD identified suspected abnormality relative to the number of slices in initial slice groupings that do have not have at least one CAD identified suspected abnormality. ### Claim 6 (depends on 1) A system according to claim 1, wherein the at least one grouping is a plurality of groupings of slices, wherein the processor circuit is configured to generate a plurality of slabbed views using different groupings of slices, and wherein the GUI is configured to allow a user to browse the different slabbed views. ### Claim 7 (depends on 6) A system according to claim 6, wherein the GUI is configured to allow a user to refine a slabbed view whereby the current group of slices associated with that slabbed view is split into a plurality of separate smaller groups of slices and/or iteratively into a single slice view. ### Claim 8 (depends on 1) A system according to claim 1, wherein the circuit is configured to provide an electronic review wizard with an automated viewing protocol that allows a user to browse the slabbed views. ### Claim 9 (depends on 8) A system according to claim 8, wherein the wizard is configured to display slabbed views of initial groupings and allow a user to select refinements of one or more of the initial groupings whereby a selected slabbed view is split into a plurality of separate smaller groups of slices and/or into a single slice view. ### Claim 10 (depends on 8) A system according to claim 8, wherein the wizard is configured to display the slabbed views of the initial groupings and automatically show refinements of the initial groupings whereby the current slabbed view being refined is split into a plurality of separate groups of slices and/or into a single slice view. ### Claim 11 (depends on 1) A system according to claim 1, wherein the at least one slabbed view is generated by taking the average of the pixel values at a corresponding position in different slices of a respective grouping. ### Claim 12 (depends on 1) A system according to claim 1, wherein the at least one slabbed view is generated by taking the maximum of the pixel values at a corresponding position in different slices of a respective grouping. ### Claim 13 (depends on 1) A system according to claim 1, wherein the at least one slabbed view is generated by taking the minimum of the pixel values at a corresponding position in different slices of a respective grouping. ### Claim 14 (depends on 1) A system according to claim 1, wherein the at least one slabbed view is generated by taking the median of the pixel values at a corresponding position in different slices of a respective grouping. ### Claim 15 A method of generating views of medical data, comprising: electronically generating groups of slices from a stack of slices using Computer Aided Detection (CAD) to electronically analyze and identify suspected abnormalities in slices of the medical image data stack and automatically generate the groups of slices based on the CAD identification of abnormalities; combining pixel values associated with a common position in each slice of a respective group; and generating slabbed views, one for each of the respective grouped slices, based on the combined pixel values. ### Claim 16 (depends on 15) A method according to claim 15, further comprising refining at least one of the slabbed views into different sub-groupings of the original group of slices for the refined slabbed view. ### Claim 17 (depends on 15) A method according to claim 15, further comprising iteratively refining at least one of the slabbed views into smaller sub-groupings of slices and/or into single slices; then generating associated refined slabbed views. ### Claim 18 (depends on 15) A method according to claim 15, further comprising accepting user input to select to browse the slabbed views and to refine the slabbed views. ### Claim 19 A processor circuit for generating medical diagnostic views of a tomosynthesis stack of mammography patient image data, wherein the circuit is configured to communicate with a graphical user interface (GUI) associated with a client workstation to accept user input to interact with the image data to generate desired views of the image data, and wherein the circuit is configured to employ Computer Aided Detection (CAD) to electronically analyze and identify suspected abnormalities in slices of the tomosynthesis image data stack to define groups of slices and to generate slabbed views of breast tissue with suspected abnormalities and allow a user to browse the slabbed views. ### Claim 20 A computer program product for providing physician interactive access to patient medical data for rendering diagnostic medical images, the computer program product comprising: a non-transitory computer readable storage medium having computer readable program code embodied in the medium, the computer-readable program code comprising: computer readable program code configured to employ Computer Aided Detection (CAD) to electronically analyze and identify suspected abnormalities in slices of a stack of patient medical image data to define groups of slices of a medical image data stack; and computer readable program code configured to generate a respective slabbed view for each of the groups of slices with suspected abnormalities.