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

Claim 15:
16. A system, comprising:
at least one processor and associated memory, the associated memory having instructions which when executed by the at least one processor causes the at least one processor to:
determine distributions of corrections for correcting a segmentation of medical image data which includes:
acquire initial segmented patient image data which describes an initial segmentation of digital medical images of an anatomical body part of a first plurality of patients;
acquire segmentation correction data which describes a correction of the initial segmentation for each patient of the first plurality of patients;
acquire atlas data which describes an image-based model of the anatomical body part;
determine 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;
determine 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;
determine combined correction data based on the transformed correction data, wherein the combined correction data describes the results of a statistical analysis of the corrections;
wherein the instructions which when executed by the at least one processor causes the at least one processor to execute a computer-implemented method of determining corrections for correcting the segmentation of medical image data which includes:
acquire segmented individual patient image data which describes a segmentation of the anatomical body part of the patient in a digital individual medical image;
determine correction re-transformation data based on the atlas data and the individual patient image data, wherein the correction re-transformation data describes a transformation for transforming the results of the statistical analysis of the corrections into a reference system used for describing positions in the digital individual medical image;
determine re-transformed correction data based on the combined correction data and the correction re-transformation data;
determine corrected segmented patient image data based on the individual patient image data and the re-transformed correction data, wherein the corrected segmented patient image data describes a result of applying the corrections to the segmentation of the anatomical body part of the patient in the digital individual medical image;
at least one electronic data storage device storing the individual patient image data;, wherein the at least one processor is operably coupled to
the at least one electronic data storage device for acquiring, from the at least one electronic data storage device, the individual patient image data, and for storing, in the at least one electronic data storage device, at least the segmented individual patient image data; and
data storage device for acquiring, from the data storage device, the data defining machine learning model parameters.