US 12,033,327 B2
Methods, systems and apparatus for processing medical chest images
Jie-Zhi Cheng, Shanghai (CN); and Qitian Chen, Shanghai (CN)
Assigned to Shanghai United Imaging Intelligence Co., Ltd., Shanghai (CN)
Filed by Shanghai United Imaging Intelligence Co., Ltd., Shanghai (CN)
Filed on Apr. 2, 2021, as Appl. No. 17/221,160.
Claims priority of application No. 202010264187.1 (CN), filed on Apr. 7, 2020.
Prior Publication US 2021/0312629 A1, Oct. 7, 2021
Int. Cl. G06T 7/11 (2017.01); G06T 7/00 (2017.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01)
CPC G06T 7/11 (2017.01) [G06T 7/0012 (2013.01); 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 2207/30008 (2013.01); G06T 2207/30061 (2013.01); G06T 2207/30168 (2013.01)] 18 Claims
OG exemplary drawing
 
1. A method for processing medical chest images, the method comprising:
obtaining a chest image;
segmenting the chest image based on a machine-learned rib segmentation model to obtain a rib segmentation result, wherein the rib segmentation result indicates a rib sequence identified in the chest image, and wherein segmenting the chest image based on the machine-learned rib segmentation model comprises:
segmenting the chest image to determine a first region that is estimated to enclose a plurality of ribs identified in the chest image;
segmenting the first region to determine one or more second regions, wherein each of the one or more second regions is associated with a respective subset of the plurality of ribs enclosed in the first region; and
segmenting each of the one or more second regions to identify individual ribs located in the each of the one or more second regions;
segmenting the chest image based on a machine-learned lung field segmentation model to obtain a lung field segmentation result, wherein the lung field segmentation result indicates one or more lung fields identified in the chest image;
determining, whether a predetermined set of one or more specific ribs overlaps with the one or more lung fields according to the rib segmentation result and the lung field segmentation result; and
determining a quality of the chest image in accordance with whether the predetermined set of one or more specific ribs overlaps with the one or more lung fields.