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:
Apr. 07, 2020

Filed:

Apr. 09, 2015
Applicant:

Case Western Reserve University, Cleveland, OH (US);

Inventors:

Mark Griswold, Shaker Heights, OH (US);

Nahal Geshnizjani, Cleveland, OH (US);

Dan Ma, Cleveland, OH (US);

Kenneth Loparo, Cleveland, OH (US);

Jeffrey Sunshine, Pepper Pike, OH (US);

Assignee:

Case Western Reserve University, Cleveland, OH (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2006.01); G01R 33/56 (2006.01); G01R 33/54 (2006.01); G01R 33/44 (2006.01); G01R 33/563 (2006.01);
U.S. Cl.
CPC ...
G06N 3/08 (2013.01); G01R 33/5608 (2013.01); G01R 33/448 (2013.01); G01R 33/543 (2013.01); G01R 33/56341 (2013.01);
Abstract

Example apparatus and methods employ an artificial neural network (ANN) to automatically design magnetic resonance (MR) pulse sequences. The ANN is trained using transverse magnetization signal evolutions having arbitrary initial magnetizations. The trained up ANN may then produce an array of signal evolutions associated with a pulse sequence having user selectable pulse sequence parameters that vary in degrees of freedom associated with magnetic resonance fingerprinting (MRF). Efficient and accurate approaches are provided for predicting user controllable MR pulse sequence settings including, but not limited to, acquisition period and flip angle (FA). The acquisition period and FA may be different in different sequence blocks in the pulse sequence produced by the ANN. Predicting user controllable MR pulse sequence settings for both conventional MR and MRF facilitates achieving desired signal characteristics from a signal evolution produced in response to an automatically generated pulse sequence.


Find Patent Forward Citations

Loading…