US 12,450,733 B2
Method and apparatus for the evaluation of medical image data
Christian Huemmer, Lichtenfels (DE); Sailesh Conjeti, Erlangen (DE); Alexander Preuhs, Erlangen (DE); and Lei Wang, Erlangen (DE)
Assigned to Siemens Healthineers AG, Forchheim (DE)
Filed by Siemens Healthineers AG, Forchheim (DE)
Filed on Jun. 13, 2022, as Appl. No. 17/838,842.
Claims priority of application No. 10 2021 206 108.7 (DE), filed on Jun. 15, 2021.
Prior Publication US 2022/0398729 A1, Dec. 15, 2022
Int. Cl. G06T 7/12 (2017.01); G06T 7/00 (2017.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01)
CPC G06T 7/0012 (2013.01) [G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30168 (2013.01); G06V 2201/03 (2022.01)] 25 Claims
OG exemplary drawing
 
1. A computer-implemented method for evaluating medical image data, the computer-implemented method comprising:
providing medical image data of a patient to be examined;
determining, for at least one segment of the medical image data, a respective classification probability value with respect to at least one first classification from a list of specified classifications;
determining a patient-specific relevance criterion corresponding to at least one second classification for at least the at least one segment, the at least one second classification being among the at least one first classification, and the patient-specific relevance criterion being based on at least one of
a quality of the medical image data,
a property of the at least one segment, or
an age of the patient to be examined;
determining a clinical relevance of the at least one second classification for the at least one segment using the patient-specific relevance criterion based on at least the respective classification probability value; and
outputting an output signal indicating the clinical relevance.