Patent ID: 11861846
Assignee: BRAINLAB AG
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 11:
12. A computer-implemented method of determining a relation between an image representation of an anatomical body part in an individual medical image and a label to be associated with the image representation of the anatomical body part in the individual medical image, the method comprising:
executing a computer-implemented method of determining distributions of corrections for correcting a segmentation of medical image data which includes:
acquiring initial segmented patient image data which describes an initial segmentation of digital medical images of the anatomical body part of a first plurality of patients;
acquiring segmentation correction data which describes a correction of the initial segmentation for each patient of the first plurality of patients;
acquiring atlas data which describes an image-based model of the anatomical body part;
determining correction transformation data based on the segmentation correction data and the atlas data, wherein the correction transformation data describes a transformation for transforming the corrections into a reference system used for describing positions in the image-based model;
determining transformed correction data based on the segmentation correction data and the correction transformation data by applying the transformation to the corrections to determine transformed corrections;
determining combined correction data based on the transformed correction data, wherein the combined correction data describes a result of a statistical analysis of the corrections;
wherein the computer-implemented method of determining corrections for correcting the segmentation of medical image data further includes:
acquiring individual patient image data which describes a digital individual medical image describing the anatomical body part of a patient; and

determining segmented individual patient image data which describes a relation between the image representation of the anatomical body part in the individual medical image and a label to be associated with the image representation of the anatomical body part in the individual medical image,, wherein the segmented individual patient image data is determined by inputting the individual patient image data into a function learning algorithm which establishes the relation between the image representation of the anatomical body part in the individual medical image and a label to be associated with the image representation of the anatomical body part in the individual medical image, the function being part of a learning algorithm which has been trained by executing the method according to any one of the five immediately preceding claims.