US 12,333,732 B2
Systems and methods for image-based nerve fiber extraction
Zhenhuan Gong, Shanghai (CN)
Assigned to SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD., Shanghai (CN)
Filed by SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD., Shanghai (CN)
Filed on Jun. 20, 2022, as Appl. No. 17/807,856.
Application 17/807,856 is a continuation of application No. PCT/CN2020/137836, filed on Dec. 20, 2020.
Claims priority of application No. 201911326191.X (CN), filed on Dec. 20, 2019.
Prior Publication US 2022/0313384 A1, Oct. 6, 2022
Int. Cl. G06T 7/00 (2017.01); A61B 90/00 (2016.01); G06T 7/11 (2017.01); G06V 10/25 (2022.01)
CPC G06T 7/11 (2017.01) [A61B 90/36 (2016.02); G06V 10/25 (2022.01); A61B 2090/364 (2016.02); G06T 2207/10072 (2013.01)] 19 Claims
OG exemplary drawing
 
1. A method for image-based nerve fiber extraction, implemented on a computing device having at least one processor and at least one non-transitory storage medium, the method comprising:
obtaining an anatomical image of a subject and a diffusion image of the subject, the subject including at least one region of interest (ROI) that relates to extraction of at least one target nerve fiber in the subject;
determining, based on the anatomical image, the at least one ROI in the diffusion image; and
extracting, from the diffusion image, at least one of the at least one target nerve fiber based on the at least one ROI; wherein
the at least one ROI includes a first ROI; the at least one target nerve fiber passes through the first ROI, and the extracting, from the diffusion image, at least one of the at least one target nerve fiber based on the at least one ROI includes:
determining at least a portion of the first ROI as a seed point; and
extracting, from the diffusion image and based on the seed point, the at least one of the at least one target nerve fiber that passes through the first ROI.