US 12,272,034 B2
Systems and methods for background aware reconstruction using deep learning
Apoorva Agarwal, Bangalore (IN); Jignesh Dholakia, Bangalore (IN); Dheeraj Kulkarni, Bangalore (IN); and Deepthi S., Bangalore (IN)
Assigned to GE Precision Healthcare LLC, Waukesha, WI (US)
Filed by GE Precision Healthcare LLC, Wauwatosa, WI (US)
Filed on Mar. 24, 2021, as Appl. No. 17/211,511.
Claims priority of application No. 202041015864 (IN), filed on Apr. 13, 2020.
Prior Publication US 2021/0319539 A1, Oct. 14, 2021
Int. Cl. G06T 5/75 (2024.01); G06N 3/08 (2023.01); G06N 20/00 (2019.01); G06T 5/50 (2006.01); G06T 7/00 (2017.01); G06T 7/194 (2017.01)
CPC G06T 5/75 (2024.01) [G06N 3/08 (2013.01); G06N 20/00 (2019.01); G06T 5/50 (2013.01); G06T 7/0012 (2013.01); G06T 7/194 (2017.01); G06T 2207/10081 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/10108 (2013.01); G06T 2207/10116 (2013.01); G06T 2207/10132 (2013.01)] 13 Claims
OG exemplary drawing
 
1. A method for image processing for a magnetic resonance imaging (MRI) system, the method comprising:
receiving, via a deep learning module, a plurality of magnetic resonance images of a subject acquired using an image acquisition system of the MRI system;
differentiating a plurality of background pixels from a plurality of foreground pixels in the plurality of magnetic resonance images using the deep learning module, wherein the foreground pixels correspond to an anatomical region of the subject and the background pixels correspond to a non-anatomical and clinically irrelevant region located outside the anatomical region;
suppressing the background pixels using a mask by setting the values of only the background pixels to zero;
processing the foreground pixels to reconstruct higher image quality magnetic resonance images than the plurality of magnetic resonance images for visualization, wherein the plurality of magnetic resonance images and the higher image quality magnetic resonance images comprise localizer images;
storing the mask; and
utilizing the mask on magnetic resonance imaging data acquired in subsequent scans to generate diagnostic quality magnetic resonance images.