US 11,995,834 B2
Method and system for the automated determination of examination results in an image sequence
Dominik Neumann, Erlangen (DE); Mehmet Akif Gulsun, Princeton, NJ (US); and Tiziano Passerini, Plainsboro, NJ (US)
Assigned to SIEMENS HEALTHINEERS AG, Forchheim (DE)
Filed by Siemens Healthcare GmbH, Erlangen (DE)
Filed on Feb. 7, 2023, as Appl. No. 18/165,510.
Claims priority of application No. 10 2022 201 347.6 (DE), filed on Feb. 9, 2022.
Prior Publication US 2023/0252636 A1, Aug. 10, 2023
Int. Cl. G06K 9/00 (2022.01); G06T 7/00 (2017.01); G06T 7/13 (2017.01); G06T 7/181 (2017.01); G06T 7/38 (2017.01)
CPC G06T 7/0016 (2013.01) [G06T 7/13 (2017.01); G06T 7/181 (2017.01); G06T 7/38 (2017.01); G06T 2207/10016 (2013.01); G06T 2207/10116 (2013.01); G06T 2207/20076 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20212 (2013.01); G06T 2207/30101 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method for an automated determination of examination results in an image sequence from multiple chronologically consecutive frames, the method comprising:
determining diagnostic candidates as contiguous image regions in individual frames for a predefined diagnostic finding; and
for a number of the diagnostic candidates,
determining which candidate image regions in other frames correspond to a particular diagnostic candidate,
determining whether the candidate image regions of the particular diagnostic candidate in the other frames overlap with other diagnostic candidates,
generating a graph containing the determined diagnostic candidates of the frames as nodes and the determined overlaps as edges, and
generating communities from nodes connected via edges.