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 |
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.
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