US 11,941,806 B2
Methods and systems for automatic assessment of fractional limb volume and fat lean mass from fetal ultrasound scans
Rohit Pardasani, Bengaluru (IN); and Hrithik Auchar, Bengaluru (IN)
Assigned to GE Precision Healthcare LLC, Waukesha, WI (US)
Filed by GE Precision Healthcare LLC, Wauwatosa, WI (US)
Filed on Sep. 17, 2021, as Appl. No. 17/477,909.
Prior Publication US 2023/0087363 A1, Mar. 23, 2023
Int. Cl. G06T 7/00 (2017.01); G06T 7/11 (2017.01); G06T 7/149 (2017.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01)
CPC G06T 7/0012 (2013.01) [G06T 7/11 (2017.01); G06T 7/149 (2017.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30008 (2013.01); G06T 2207/30044 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
applying automated assessment for a fetus based on imaging data obtained during medical imaging examination of the fetus, wherein the applying the automated assessment comprises:
processing imaging data corresponding to a plurality of a cross-section imaging slices corresponding to a limb of the fetus, wherein the processing comprises for each imaging slice:
automatically generating a predicted outer mask corresponding to contour of the limb cross-section based on application of a first pre-trained model to imaging data corresponding to the imaging slice; and
automatically generating a segmentation of fat-lean region for the imaging slice based on application of a second pre-trained model to both of the imaging data corresponding to the imaging slice and the generated predicted outer mask; and
applying based on the processing of the imaging data corresponding to the plurality of the cross-section imaging slices:
a fractional limb volume assessment; and
a fat-lean mass assessment.