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:
Mar. 15, 2022

Filed:

Sep. 25, 2019
Applicant:

Siemens Healthineers Ltd., Shanghai, CN;

Inventors:

Jianhui Zhong, Zhejiang, CN;

Mu Lin, Shanghai, CN;

Yi Sun, Shanghai, CN;

Assignee:

Siemens Healthcare GmbH, Erlangen, DE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); G01R 33/563 (2006.01); G06N 3/04 (2006.01); G06N 3/08 (2006.01); A61B 5/00 (2006.01); A61B 5/055 (2006.01);
U.S. Cl.
CPC ...
G01R 33/56341 (2013.01); A61B 5/055 (2013.01); A61B 5/7267 (2013.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01); G06T 7/97 (2017.01); A61B 5/4029 (2013.01); G06T 2207/10092 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01);
Abstract

A magnetic resonance diffusion tensor imaging method and corresponding device. The method includes acquiring omnidirectionally sampled diffusion weighted images of a plurality of training samples; performing diffusion tensor model fitting and undersampling for the omnidirectionally sampled diffusion weighted images of each training sample to obtain an omnidirectionally sampled diffusion tensor image and an undersampled diffusion weighted image; training a deep learning network, with the omnidirectionally sampled diffusion tensor images of the plurality of training samples as training targets and the undersampled diffusion weighted images as training data; acquiring undersampled diffusion weighted images of a target object; and inputting the undersampled diffusion weighted images of target objects into the trained deep learning network to obtain the predicted omnidirectionally sampled diffusion tensor images of the target objects. Also, a fiber tracking method and corresponding device.


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