US 12,270,882 B2
Imaging system and method
Jingyi Yang, Beijing (CN); Mingyang Yang, Beijing (CN); Yanran Xu, Beijing (CN); Yuting Dou, Beijing (CN); and Bingjie Zhao, Beijing (CN)
Assigned to GE Precision Healthcare LLC, Wauwatosa, WI (US)
Filed by GE Precision Healthcare LLC, Wauwatosa, WI (US)
Filed on May 24, 2022, as Appl. No. 17/752,070.
Claims priority of application No. 202110600353.5 (CN), filed on May 31, 2021.
Prior Publication US 2022/0381862 A1, Dec. 1, 2022
Int. Cl. G01R 33/56 (2006.01); G06T 7/13 (2017.01); G06T 7/136 (2017.01); G06T 7/155 (2017.01); G06V 10/25 (2022.01)
CPC G01R 33/5608 (2013.01) [G01R 33/5601 (2013.01); G06T 7/13 (2017.01); G06T 7/136 (2017.01); G06T 7/155 (2017.01); G06V 10/25 (2022.01); G06T 2207/10088 (2013.01); G06T 2207/20084 (2013.01)] 11 Claims
OG exemplary drawing
 
1. An imaging system, comprising:
a positioning image acquisition unit, configured to acquire a positioning image of a scanning object;
a monitoring slice image acquisition unit, configured to obtaining a key point corresponding to the position of a target region of interest in the positioning image by using a neural network, and acquire a monitoring slice image of the scanning object at the position of the key point, wherein the key point is selected based on an anatomy of the target region of interest; and
a target region-of-interest segmentation unit, configured to segment the monitoring slice image to obtain the target region of interest.