# US 2019/0244352 A1 · Analyzing apparatus and analyzing method > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2019/0244352 A1 - Document ID: US20190244352A1 - Status: Published application - Kind: A1 - Application number: 16/386,802 - Filed: 2019-04-17 - Published: 2019-08-08 - Earliest claimed: 2016-07-22 - Assignees: Canon Medical Systems Corporation - Applicants: Canon Medical Systems Corporation - Inventors: Yasunori HONJO; Yu Igarashi; Masaki Watanabe - Web page: https://patentgrep.com/patent/US20190244352A1 ## CPC - G06T 7/0012: {Biomedical image inspection} - A61B 5/7271: {Specific aspects of physiological measurement analysis (specific diagnostics methods using bioelectric or biomagnetic signals A61B5/316)} - A61B 8/485: {involving measuring strain or elastic properties} - A61B 8/5223: {for extracting a diagnostic or physiological parameter from medical diagnostic data (for algorithms to analyse biomedical images G06T7/0012)} - G06T 7/11: Region-based segmentation - G06T 7/187: involving region growing; involving region merging; involving connected component labelling - G06T 11/60: Creating or editing images; Combining images with text - G06V 10/50: by performing operations within image blocks; by using histograms, e.g. histogram of oriented gradients [HoG]; by summing image-intensity values; Projection analysis - G16H 50/30: for calculating health indices; for individual health risk assessment - A61B 5/7475: {User input or interface means, e.g. keyboard, pointing device, joystick} - G06T 2207/10132: Ultrasound image - G06T 2207/20021: Dividing image into blocks, subimages or windows - G06T 2207/20081: Training; Learning - G06T 2207/30004: Biomedical image processing - G06T 2207/30024: Cell structures in vitro; Tissue sections in vitro - G06T 2210/41: Medical - G06T: IMAGE DATA PROCESSING OR GENERATION, IN GENERAL - A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D) - G06V: IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING - G16H: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA ## Abstract An analyzing apparatus according to an embodiment includes processing circuitry. The processing circuitry is configured to calculate a tissue characteristic parameter value with respect to each of a plurality of positions within a region of interest, by analyzing a result of a scan performed on a patient. The processing circuitry is configured to determine a measurement region in the region of interest by performing an analysis while using the tissue characteristic parameter values. The processing circuitry is configured to calculate a statistic value of the tissue characteristic parameter values in the measurement region. ## Claims ### Claim 1 An analyzing apparatus comprising processing circuitry configured: to calculate a tissue characteristic parameter value with respect to each of a plurality of positions within a region of interest, by analyzing a result of a scan performed on a patient; to determine a measurement region in the region of interest by performing an analysis while using the tissue characteristic parameter values; and to calculate a statistic value of the tissue characteristic parameter values in the measurement region. ### Claim 2 (depends on 1) The analyzing apparatus according to claim 1, wherein the processing circuitry calculates an index value related to variance among the tissue characteristic parameter values with respect to each of a plurality of sub-regions included in the region of interest, and the processing circuitry determines the measurement region by comparing the index value of each of the plurality of sub-regions with a threshold value. ### Claim 3 (depends on 1) The analyzing apparatus according to claim 1, wherein the processing circuitry obtains distribution information of the tissue characteristic parameter values with respect to each of a plurality of sub-regions included in the region of interest, the processing circuitry calculates an index value indicating a degree of stability of the tissue characteristic parameter values for each of the sub-regions, by using the distribution information as an input to a trained machine learning scheme, and the processing circuitry determines the measurement region by comparing the index value of each of the plurality of sub-regions with a threshold value. ### Claim 4 (depends on 1) The analyzing apparatus according to claim 1, wherein the processing circuitry causes the measurement region to be displayed over an image based on the tissue characteristic parameter values. ### Claim 5 (depends on 2) The analyzing apparatus according to claim 2, wherein the processing circuitry causes the sub-regions to be displayed over an image based on the tissue characteristic parameter values. ### Claim 6 An analyzing apparatus comprising processing circuitry configured: to calculate a tissue characteristic parameter value with respect to each of a plurality of positions within a region of interest, by analyzing a result of a scan performed on a patient; to determine a measurement candidate region in the region of interest by performing an analysis while using the tissue characteristic parameter values; and to cause the measurement candidate region to be displayed over an image based on the tissue characteristic parameter values. ### Claim 7 (depends on 6) The analyzing apparatus according to claim 6, wherein the processing circuitry calculates an index value related to variance among the tissue characteristic parameter values, with respect to each of a plurality of sub-regions included in the region of interest, and the processing circuitry determines the measurement candidate region by comparing the index value of each of the plurality of sub-regions with a threshold value. ### Claim 8 (depends on 6) The analyzing apparatus according to claim 6, wherein the processing circuitry obtains distribution information of the tissue characteristic parameter values with respect to each of a plurality of sub-regions included in the region of interest, the processing circuitry calculates an index value indicating a degree of stability of the tissue characteristic parameter values for each of the sub-regions, by using the distribution information as an input to a trained machine learning scheme, and the processing circuitry determines the measurement candidate region by comparing the index value of each of the plurality of sub-regions with a threshold value. ### Claim 9 (depends on 7) The analyzing apparatus according to claim 7, wherein the processing circuitry causes the sub-regions to be displayed over the image based on the tissue characteristic parameter values. ### Claim 10 (depends on 2) The analyzing apparatus according to claim 2, wherein the processing circuitry receives an input to change a size of the sub-regions. ### Claim 11 (depends on 2) The analyzing apparatus according to claim 2, wherein the processing circuitry receives an input to change the threshold value. ### Claim 12 (depends on 2) The analyzing apparatus according to claim 2, wherein the processing circuitry changes the threshold value in accordance with a site of the patient subject to a measuring process. ### Claim 13 (depends on 6) The analyzing apparatus according to claim 6, wherein the processing circuitry determines the measurement candidate region having a shape and a size that are set in advance. ### Claim 14 (depends on 7) The analyzing apparatus according to claim 7, wherein the processing circuitry determines one or more measurement candidate regions, from within a region combining together two or more of the sub-regions that are each determined, as a result of the comparison, to have a small value as the variance. ### Claim 15 (depends on 8) The analyzing apparatus according to claim 8, wherein the processing circuitry determines one or more measurement candidate regions from within a region combining together two or more of the sub-regions that are each determined, as a result of the comparison, to exhibit a high level as the degree of stability. ### Claim 16 (depends on 14) The analyzing apparatus according to claim 14, wherein the processing circuitry determines one or more measurement candidate regions of which a quantity is determined in advance. ### Claim 17 (depends on 14) The analyzing apparatus according to claim 14, wherein, as the measurement candidate region, the processing circuitry determines a circular region having a largest diameter. ### Claim 18 (depends on 1) The analyzing apparatus according to claim 1, wherein, as the tissue characteristic parameter values, the processing circuitry calculates, with respect to positions where the scan was performed, one selected from among shear velocity values, arrival times, elasticity modulus values, velocity values, displacement values, strain values, attenuation values, and brightness local variance values. ### Claim 19 (depends on 2) The analyzing apparatus according to claim 2, wherein, as the index value, the processing circuitry calculates one selected from among a variance value, a standard deviation, and a residual sum of squares, with respect to the tissue characteristic parameter values. ### Claim 20 An analyzing method comprising: calculating a tissue characteristic parameter value with respect to each of a plurality of positions within a region of interest, by analyzing a result of a scan performed on a patient; determining a measurement region in the region of interest by performing an analysis while using the tissue characteristic parameter values; and calculating a statistic value of the tissue characteristic parameter value in the measurement region.