US 12,190,502 B2
Systems and methods for image optimization
Wenjing Cao, Shanghai (CN)
Assigned to SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD., Shanghai (CN)
Filed by SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD., Shanghai (CN)
Filed on Dec. 16, 2020, as Appl. No. 17/124,450.
Application 17/124,450 is a continuation of application No. PCT/CN2020/090862, filed on May 18, 2020.
Prior Publication US 2021/0142476 A1, May 13, 2021
Int. Cl. G06T 7/00 (2017.01); G06T 5/50 (2006.01); G06T 5/70 (2024.01); G06T 5/73 (2024.01); G06T 5/90 (2024.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01)
CPC G06T 7/0012 (2013.01) [G06T 5/50 (2013.01); G06T 5/70 (2024.01); G06T 5/73 (2024.01); G06T 5/90 (2024.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); G06T 2207/10116 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20182 (2013.01); G06T 2207/30004 (2013.01); G06T 2207/30168 (2013.01)] 19 Claims
OG exemplary drawing
 
1. A method for medical image optimization, comprising:
obtaining an initial image to be processed acquired by a medical scanning device;
determining a quality feature of the initial image;
inputting the initial image and the quality feature into an image processing model, wherein a loss function of the image processing model for training is positively related to a quality weight, and the quality weight being determined based on a sample quality feature of each of a plurality of training samples for the training of the image processing model and wherein the quality weight of the training sample is determined based on a first quality sub-weight corresponding to a first sample quality feature of the training sample and a second quality sub-weight corresponding to a second sample quality feature of the training sample; and
determining an optimized image of the initial image based on an output of the image processing model.