US 12,444,170 B2
Program, information processing method, method for generating learning model, method for relearning learning model, and information processing system
Yuki Sakaguchi, Isehara (JP); Yusuke Seki, Tokyo (JP); and Akira Iguchi, Mishima (JP)
Assigned to TERUMO KABUSHIKI KAISHA, Tokyo (JP)
Filed by TERUMO KABUSHIKI KAISHA, Tokyo (JP)
Filed on Sep. 28, 2022, as Appl. No. 17/954,770.
Application 17/954,770 is a continuation of application No. PCT/JP2021/009337, filed on Mar. 9, 2021.
Claims priority of application No. 2020-061510 (JP), filed on Mar. 30, 2020.
Prior Publication US 2023/0042524 A1, Feb. 9, 2023
Int. Cl. G06V 10/764 (2022.01); G06T 7/00 (2017.01); G06T 7/62 (2017.01); G06V 10/774 (2022.01); G06V 10/776 (2022.01); G06V 10/778 (2022.01); A61B 8/14 (2006.01)
CPC G06V 10/774 (2022.01) [G06T 7/0012 (2013.01); G06T 7/62 (2017.01); G06V 10/764 (2022.01); G06V 10/776 (2022.01); G06V 10/778 (2022.01); A61B 8/14 (2013.01); G06T 2207/10072 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30096 (2013.01); G06T 2207/30101 (2013.01); G06V 2201/031 (2022.01)] 18 Claims
OG exemplary drawing
 
1. A non-transitory computer-readable medium (CRM) storing computer program code executed by a computer processor that executes a process comprising:
acquiring a tomographic image generated using a diagnostic imaging catheter inserted into a lumen organ;
inputting the acquired tomographic image to a first model configured to output types of a plurality of objects included in the tomographic image and ranges of the respective objects in association with each other when the tomographic image is input, and to output the types and the ranges of the objects output from the first model;
storing the types and the ranges of the objects in a manner of being mapped and associated with a position of the tomographic image in the lumen organ; and
wherein the tomographic image is a lateral tomographic image showing a cross section obtained by cutting the lumen organ and a periphery of the lumen organ in a direction intersecting a longitudinal direction of the lumen organ by:
mapping and storing the types and the ranges of the objects for each of a plurality of the lateral tomographic images; and
outputting the types and the ranges of the objects in a manner of being mapped with a longitudinal tomographic image that is generated based on the plurality of lateral tomographic images and that shows a cross section obtained by cutting the lumen organ and the periphery of the lumen organ in a direction along the longitudinal direction of the lumen organ.