Patent · US Active

Method and system for reconstruction of CEST contrast image

US11587270B2 · kind B2 · utility

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7Claims

0Family size

Assignee

XIAMEN UNIVERSITY · CN

Inventors

Shuhui Cai · Shantou, CN
Chenlu Guo · Hangzhou City, CN
Congbo Cai · Fujian, CN
Jian Wu · Hangzhou City, CN

Key dates

Filing date	Nov 20, 2020
Grant date	Feb 21, 2023
Priority date	—
Expiry date	Jul 20, 2041

Classification

Technology area (CPC G)Physics
CPC primaryG06T2211/416
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

Disclosed is a method for reconstruction of a Chemical Exchange Saturation Transfer (CEST) contrast image. The method includes: generating training samples for a deep neural network; training the deep neural network with the training samples to obtain a trained deep neural network; and reconstructing a CEST contrast image by using the trained deep neural network and PROPELLER undersampled CEST images. The method for reconstruction of a CEST contrast image can effectively shorten the experimental time of a CEST contrast imaging and can obtain a smoother and more accurate CEST contrast image. Further disclosed is a system for reconstruction of a CEST contrast image to implement the method for reconstruction.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.