Title:
METHOD FOR HIGH-RESOLUTION IMAGE RECONSTRUCTION
Document Type and Number:
WIPO Patent Application WO/2023/283795
Kind Code:
A1
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 (206) to normalize the plurality of images from their respective image spaces to a normalized image space (208). Each normalized image comprises a plurality of voxels (212). A machine learning model (250) comprising an implicit representation of a high-resolution image (226) is trained using the normalized images, wherein the high-resolution image (226) comprises more voxels (222) than the voxels (212) in the normalized images. The high-resolution image is generated based on the trained machine learning model (250). The pluraity of images are a plurality of anisotropic 2D images, while the high resolution image can be a 2D or 3D high resolution image.
Inventors:
YU JINGYI (CN)
ZHANG YUYAO (CN)
XU LAN (CN)
LI YUWEI (CN)
WU QING (CN)
ZHANG YUYAO (CN)
XU LAN (CN)
LI YUWEI (CN)
WU QING (CN)
Application Number:
PCT/CN2021/105862
Publication Date:
January 19, 2023
Filing Date:
July 12, 2021
Export Citation:
Assignee:
UNIV SHANGHAI TECHNOLOGY (CN)
International Classes:
G06T5/00; G06N3/02
Foreign References:
| CN111353935A | 2020-06-30 | |||
| CN110464353A | 2019-11-19 | |||
| CN112102385A | 2020-12-18 | |||
| CN102592137A | 2012-07-18 | |||
| US20200072931A1 | 2020-03-05 | |||
| US20130102877A1 | 2013-04-25 |
Attorney, Agent or Firm:
SHANGHAI SAVVY INTELLECTUAL PROPERTY AGENCY (CN)
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