US 11,727,559 B2
Pneumothorax detection
Benedikt Graf, Charlestown, MA (US); Yiting Xie, Cambridge, MA (US); Arkadiusz Sitek, Ashland, MA (US); and Amin Katouzian, Lexington, MA (US)
Filed by Merative US L.P., Ann Arbor, MI (US)
Filed on Jul. 1, 2020, as Appl. No. 16/918,067.
Prior Publication US 2022/0005185 A1, Jan. 6, 2022
Int. Cl. G06T 7/00 (2017.01); G16H 50/30 (2018.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); G06N 20/00 (2019.01); G06T 1/20 (2006.01); G06T 7/11 (2017.01); A61B 6/00 (2006.01); A61B 5/00 (2006.01); A61B 6/12 (2006.01); G06T 7/70 (2017.01)
CPC G06T 7/0012 (2013.01) [A61B 5/7267 (2013.01); A61B 6/12 (2013.01); A61B 6/5217 (2013.01); G06N 20/00 (2019.01); G06T 1/20 (2013.01); G06T 7/11 (2017.01); G06T 7/70 (2017.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01); G06T 2207/10116 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30061 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A processor-implemented method for determining a likelihood of pneumothorax of a patient, the method comprising:
assessing a digital image of a chest x-ray of the patient;
applying a standard detection pipeline to the digital image;
applying a confounding factor detector to the digital image; and
applying a high-resolution detection pipeline to the digital image, wherein the high-resolution detection pipeline comprises a deep sulcus detector and an apical pneumothorax detector that operate on one or more patches of the digital image, wherein the deep sulcus detector classifies the one or more patches with regard to whether or not the one or more patches have a deep sulcus pneumothorax present, and wherein the apical pneumothorax detector classifies the one or more patches with regard to whether or not the one or more patches have an apical pneumothorax present.