COMPUTER IMPLEMENTED METHOD FOR AUTOMATED ANALYSIS OF THE BIAS IN MEASUREMENTS PERFORMED ON MEDICAL IMAGES OF AN ANATOMICAL STRUCTURE

The invention is directed to a computer implemented method for automated analysis of the bias in measurements performed on medical images of an anatomical structure. The method comprises the steps of: receiving a plurality of medical images, wherein the plurality of medical images includes at least...

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Hauptverfasser: BLITZ, Alexandra, STAPF, Daniel, ZOERNACK, Sabrina, WIEBEL, Hendrik, BLANKENHAGEN, Michael, SCHUMMERS, Georg, SCHRECKENBERG, Marcus, ROSSMANITH, Alexander
Format: Patent
Sprache:eng ; fre ; ger
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Zusammenfassung:The invention is directed to a computer implemented method for automated analysis of the bias in measurements performed on medical images of an anatomical structure. The method comprises the steps of: receiving a plurality of medical images, wherein the plurality of medical images includes at least a first plurality of medical images and a second plurality of medical images, and each plurality of medical images includes the same anatomical structure of the same or different patient(s), receiving, for the first plurality of medical images, first measurement data (Rl) of a feature of the anatomical structure, wherein the first measurement data (Rl) is obtained by a first user, determining, for the first plurality of medical images, a first baseline measurement data (C1) of the feature of the anatomical structure by means of an automated measurement tool (1), determining a first measurement bias (B1) for the first user based on the first measurement data (Rl) and the first baseline measurement data (C1), receiving, for the second plurality of medical images, second measurement data (R2) of a feature of the anatomical structure, wherein the second measurement data (R2) is obtained by a second user, the second user being different from the first user, determining, for the second plurality of medical images, a second baseline measurement data (C2) of the feature of the anatomical structure by means of an automated measurement tool (1), determining a second measurement bias (B2) for the second user based on the second measurement data (R2) and the second baseline measurement data (C2), and comparing the first measurement bias (B1) with the second measurement bias (B2).