US 12,229,963 B2
Adaptive auto-segmentation in computed tomography
Igor Peterlik, Kuenten (CH); Adam Michal Strzelecki, Daettwil (CH); Dieter Marc Seghers, Zürich (CH); Mathieu Plamondon, Glattbrugg (CH); Mathias Lehmann, Zürich (CH); Pascal Paysan, Basel (CH); and Alexander Heinz, Lörrach (DE)
Assigned to SIEMENS HEALTHINEERS INTERNATIONAL AG, (CH)
Filed by SIEMENS HEALTHINEERS INTERNATIONAL AG, Palo Alto, CA (US)
Filed on Dec. 9, 2021, as Appl. No. 17/546,080.
Claims priority of provisional application 63/250,046, filed on Sep. 29, 2021.
Prior Publication US 2023/0100798 A1, Mar. 30, 2023
Int. Cl. G06T 7/11 (2017.01); A61N 5/10 (2006.01); G06T 7/136 (2017.01); G06T 7/62 (2017.01); G06V 10/44 (2022.01); G06V 10/764 (2022.01)
CPC G06T 7/11 (2017.01) [G06T 7/136 (2017.01); G06T 7/62 (2017.01); G06V 10/457 (2022.01); G06V 10/764 (2022.01); A61N 5/1039 (2013.01); A61N 5/1067 (2013.01); G06T 2207/10081 (2013.01); G06T 2207/30196 (2013.01); G06V 2201/03 (2022.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method of segmenting a reconstructed volume of a region of patient anatomy, the method comprising:
determining an anatomical region associated with the reconstructed volume;
detecting one or more metal objects disposed in an initial 3D metal object mask associated with the reconstructed volume;
for each of the one or more metal objects disposed in the initial 3D metal object mask, determining a volume associated with the metal object;
determining a value for at least one segmentation parameter based on the anatomical region and on the volume associated with the one or more metal objects; and
generating a final 3D metal object mask associated with the reconstructed volume using the value for the segmentation parameter.