公开(公告)号：US20240303832A1

公开(公告)日：2024-09-12

申请号：US18119435

申请日：2023-03-09

Applicant: Shanghai United Imaging Intelligence Co., Ltd.

Inventor： Xiao Chen ,  Kun Han ,  Zhang Chen ,  Yikang Liu ,  Shanhui Sun ,  Terrence Chen

IPC: G06T7/246 ,  G06T7/215

CPC classification number: G06T7/251 ,  G06T7/215 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30048

Abstract: The motion estimation of an anatomical structure may be performed using a machine-learned (ML) model trained based on medical training images of the anatomical structure and corresponding segmentation masks for the anatomical structure. During the training of the ML model, the model may be used to predict a motion field that may indicate a change between a first training image and a second training image, and to transform the first training image and a corresponding first segmentation mask based on the motion field. The parameters of the ML model may then be adjusted to maintain a correspondence between the transformed first training image and the second training image and between the transformed first segmentation mask or a second segmentation mask associated with the second training image. The correspondence may be assessed based on at least a boundary region shared by the anatomical structure and one or more other anatomical structures.