US 11,948,305 B2
Method and system for segmenting lung image, and storage medium
Yingbin Nie, Guangzhou (CN); Zhoushe Zhao, Beijing (CN); and Chen Zhang, Guangzhou (CN)
Assigned to GE Precision Healthcare LLC, Wauwatosa, WI (US)
Filed by GE Precision Healthcare LLC, Wauwatosa, WI (US)
Filed on Jun. 8, 2021, as Appl. No. 17/342,192.
Claims priority of application No. 202010530332.6 (CN), filed on Jun. 11, 2020.
Prior Publication US 2021/0390703 A1, Dec. 16, 2021
Int. Cl. G06T 7/187 (2017.01); G06T 5/30 (2006.01); G06T 7/11 (2017.01); G06T 7/155 (2017.01)
CPC G06T 7/11 (2017.01) [G06T 5/30 (2013.01); G06T 7/155 (2017.01); G06T 7/187 (2017.01); G06T 2207/10081 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20132 (2013.01); G06T 2207/20221 (2013.01); G06T 2207/30061 (2013.01); G06T 2207/30101 (2013.01)] 23 Claims
OG exemplary drawing
 
1. A method for segmenting a lung image, comprising:
obtaining medical image data containing a lung region;
performing lung lobe segmentation on the medical image data to generate a plurality of lung lobe data subsets;
generating updated lung image data based on one or a plurality of lung lobe data subsets in the plurality of lung lobe data subsets, wherein generating the updated lung image data comprises merging at least two lung lobe data subsets in the plurality of lung lobe data subsets and performing a morphological closing operation on the merged lung lobe data subset; and
performing nidus segmentation on the updated lung image data to generate a segmentation image that identifies a pneumonia nidus.