US 11,854,192 B2
Multi-phase object contour refinement
Yi-Qing Wang, Paris (FR); Moshe Raboh, Holon (IL); Dana Levanony, Tel Aviv (IL); and Giovanni John Jacques Palma, Chaville (FR)
Assigned to International Business Machines Corporation, Armonk, NY (US)
Filed by INTERNATIONAL BUSINESS MACHINES CORPORATION, Armonk, NY (US)
Filed on Mar. 3, 2021, as Appl. No. 17/191,180.
Prior Publication US 2022/0284569 A1, Sep. 8, 2022
Int. Cl. G06T 7/00 (2017.01); G06T 7/12 (2017.01); G06T 3/00 (2006.01)
CPC G06T 7/0012 (2013.01) [G06T 3/0093 (2013.01); G06T 7/12 (2017.01); G06T 2207/10081 (2013.01); G06T 2207/10104 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30096 (2013.01)] 17 Claims
OG exemplary drawing
 
1. A system for providing lesion contour refinement for multiphase medical images of an organ, the system comprising:
a display device;
at least one memory for storing medical images; and
an electronic processor configured to:
receive a 3D input mask corresponding to a lesion contour determined for a reference phase of multiphase medical images, wherein the multiphase medical images include at least one of an arterial phase, a pre-contrast phase, and a delayed phase for a same organ;
receive input slices for target phase medical images;
deform the input slices to correspond to a point position of a reference phase coordinate system as warped input slices in the reference phase;
crop the warped input slices with the 3D input mask from the reference phase;
perform lesion contour refinement, on one lesion at a time, for the cropped input slices and the 3D input mask to obtain a 3D predicted mask for the reference phase coordinate system, wherein the lesion contour refinement is performed by a U-Net 3D model that enables deep learning;
determine whether the 3D predicted mask meets a minimal overlap requirement;
store the 3D predicted mask only when the 3D predicted mask meets the minimal overlap requirement; and
provide the 3D predicted mask to a target reference deformation field to map the 3D predicted mask to a target phase coordinate system as an output mask for the target phase medical images to provide a 3D lesion contour.