US 12,078,705 B2
Automated segmentation of tissue in magnetic resonance imaging
Ayman S. El-Baz, Louisville, KY (US); Susan J. Harkema, Louisville, KY (US); Enrico Rejc, Louisville, KY (US); Ahmed Shalaby, Louisville, KY (US); and Samineh Mesbah, Louisville, KY (US)
Assigned to University of Louisville Research Foundation, Inc., Louisville, KY (US)
Filed by University of Louisville Research Foundation, Inc., Louisville, KY (US)
Filed on May 25, 2023, as Appl. No. 18/323,564.
Application 18/323,564 is a continuation of application No. 16/771,059, granted, now 11,675,039, previously published as PCT/US2018/064760, filed on Dec. 10, 2018.
Claims priority of provisional application 62/596,941, filed on Dec. 11, 2017.
Prior Publication US 2023/0417851 A1, Dec. 28, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G01R 33/56 (2006.01); G01R 33/48 (2006.01)
CPC G01R 33/5608 (2013.01) [G01R 33/4828 (2013.01); G01R 33/5607 (2013.01)] 21 Claims
OG exemplary drawing
 
1. A method for segmentation of a medical image comprising:
receiving medical imaging data of a body part;
determining a volume of the body part;
segmenting the volume of the body part into at least muscle tissue; and
segmenting the muscle tissue volume within the body part into a plurality of different muscle group volumes.