US 12,064,227 B2
Automatic determination of b-values from diffusion-weighted magnetic resonance images
Amin Katouzian, Lexington, MA (US); Marwan Sati, Mississauga (CA); Arkadiusz Sitek, Ashland, MA (US); Benedikt Graf, Charlestown, MA (US); Aly Mohamed, Acton, MA (US); Kourosh Jafari-Khouzani, Rego Park, NY (US); Frederic Commandeur, Paris (FR); and Omid Bonakdar Sakhi, North York (CA)
Assigned to International Business Machines Corporation, Armonk, NY (US)
Filed by International Business Machines Corporation, Armonk, NY (US)
Filed on Feb. 25, 2022, as Appl. No. 17/681,324.
Prior Publication US 2023/0270347 A1, Aug. 31, 2023
Int. Cl. G06T 7/00 (2017.01); A61B 5/055 (2006.01); G01R 33/56 (2006.01); G01R 33/563 (2006.01); G16H 30/40 (2018.01)
CPC A61B 5/055 (2013.01) [G01R 33/5608 (2013.01); G01R 33/56341 (2013.01); G06T 7/97 (2017.01); G16H 30/40 (2018.01); A61B 2576/00 (2013.01); G06T 2207/10092 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30004 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method, in a data processing system, for automatic determination of b-value difference from diffusion-weighted (DW) images, the method comprising:
receiving a series of DW images wherein a first image has a first b-value and a second image has an unknown b-value;
applying a generative adversarial network (GAN) model to estimate a difference between b-values in the series of DW images; and
determining a b-value for the second image based on the first b-value and the estimated difference between b-values.