公开(公告)号：US20240273672A1

公开(公告)日：2024-08-15

申请号：US18568316

申请日：2021-07-12

Applicant: SHANGHAITECH UNIVERSITY

Inventor： Jingyi YU ,  Yuyao ZHANG ,  Lan XU ,  Yuwei LI ,  Qing WU

IPC: G06T3/4046 ,  G06T3/4053 ,  G06T5/10 ,  G06T5/50 ,  G06T5/60

CPC classification number: G06T3/4046 ,  G06T3/4053 ,  G06T5/10 ,  G06T5/50 ,  G06T5/60 ,  G06T2207/10061 ,  G06T2207/10081 ,  G06T2207/10088 ,  G06T2207/20048 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30016

Abstract: Described herein are methods and non-transitory computer-readable media configured to obtain a plurality of images from a plurality of image scanning orientations for an object. A rigid registration is performed to the plurality of images to obtain a transformation matrix to normalize the plurality of images from their respective image spaces to a normalized image space. Each normalized image comprises a plurality of voxels. A machine learning model comprising an implicit representation of a high-resolution image is trained using the normalized images, wherein the high-resolution image comprises more voxels than the voxels in the normalized images. The high-resolution image is generated based on the trained machine learning model. The plurality of images are a plurality of anisotropic 2D images, while the high resolution image can be a 2D or 3D high resolution image.