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:
May. 10, 2022

Filed:

Jun. 30, 2020
Applicants:

Siemens Healthcare Gmbh, Erlangen, DE;

Duke University, Durham, NC (US);

Inventors:

Xiaodong Zhong, Oak Park, CA (US);

Vibhas S. Deshpande, Austin, TX (US);

Mustafa R. Bashir, Cary, NC (US);

Assignees:

Siemens Healthcare GmbH, Erlangen, DE;

Duke University, Durham, NC (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01R 33/48 (2006.01); G01R 33/56 (2006.01); G06T 5/50 (2006.01); G06N 3/08 (2006.01);
U.S. Cl.
CPC ...
G01R 33/4828 (2013.01); G01R 33/5608 (2013.01); G06N 3/08 (2013.01); G06T 5/50 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30056 (2013.01);
Abstract

A computer-implemented method for using machine learning to suppress fat in acquired MR images includes receiving multi-echo images from an anatomical area of interest acquired using an MRI system. A first subset of the multi-echo images is acquired prior to application of contrast to the anatomical area of interest and a second subset of the multi-echo images is acquired after application of contrast to the anatomical area of interest. Next, data is generated including water images, fat images, and effective R*maps from the multi-echo images. The water images, the fat images, and the effective R*maps are used to create synthetic fat suppressed images. A neural network is trained to use the multi-echo images as input and the synthetic fat suppressed images as ground truth. A plurality of components of the neural network are saved to allow later deployment of the neural network on a computing system.


Find Patent Forward Citations

Loading…