The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jul. 16, 2024

Filed:

Nov. 25, 2020
Applicant:

Zhejiang University, Hangzhou, CN;

Inventors:

Huafeng Liu, Hangzhou, CN;

Qiupeng Feng, Hangzhou, CN;

Assignee:

ZHEJIANG UNIVERSITY, Hangzhou, CN;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06T 11/00 (2006.01); G06N 3/084 (2023.01); G06T 5/70 (2024.01);
U.S. Cl.
CPC ...
G06T 11/005 (2013.01); G06N 3/084 (2013.01); G06T 5/70 (2024.01); G06T 2207/10104 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01);
Abstract

The present invention discloses a low dose Sinogram denoising and PET image reconstruction method based on teacher-student generator, the adopted network model is divided into a Sinogram denoising module and a PET image reconstruction module, the entire network needs to be processed in a training stage and a test stage. In the training stage: the present invention uses the denoising module to denoise the low dose Sinogram, and then makes the reconstruction module use the denoised Sinogram to reconstruct, in which the teacher generator is introduced in the training stage to constrain the whole, the denoising module is decoupled from the reconstruction module, and a better reconstructed image is obtained through training. In the testing stage, the present invention only needs to input low-dose Sinogram to the denoising module to obtain the denoised Sinogram, and then input the denoised Sinogram to the student generator to get the final reconstruction image.


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