Auto segmentation of thalamic nuclei using track density images
AssigneeSiemens Healthineers AG
InventorsC. A. RAVI, Stefan HUWER
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Abstract
A computer-implemented method for training an artificial intelligence model for segmenting a thalamic nucleus in a radiology image, comprises: obtaining a plurality of radiology images including a representation of thalamic nuclei; preprocessing the plurality of radiology images, wherein the preprocessing includes generating a plurality of track density images based on the plurality of radiology images; and training the artificial intelligence model based on at least a first portion of the plurality of track density images.
Claims20
A computer-implemented method for training an artificial intelligence model for segmenting a thalamic nucleus in a radiology image, the computer-implemented method comprising:
- obtaining a plurality of radiology images including a representation of thalamic nuclei;
- preprocessing the plurality of radiology images, wherein the preprocessing includes generating a plurality of track density images based on the plurality of radiology images;
- and
- training the artificial intelligence model based on at least a first portion of the plurality of track density images.
A computer-implemented method for segmenting a thalamic nucleus in a radiology image, the computer-implemented method comprising:
- obtaining a radiology image including a representation of the thalamic nucleus;
- preprocessing the radiology image, wherein the preprocessing includes generating a track density image based on the radiology image;
- providing the track density image to a trained artificial intelligence model, wherein the trained artificial intelligence model is trained for segmenting thalamic nuclei in a radiology image;
- and
- segmenting, using the trained artificial intelligence model, the thalamic nucleus in the track density image.
A computer-implemented apparatus for training an artificial intelligence model for segmenting a thalamic nucleus in a radiology image, the computer-implemented apparatus comprising:
- an obtaining unit configured to obtain a plurality of radiology images including a representation of thalamic nuclei;
- a preprocessing unit configured to preprocess the plurality of radiology images, wherein preprocessing of the plurality of radiology images includes generating a plurality of track density images based on the plurality of radiology images;
- and
- a training unit configured to train the artificial intelligence model based on at least a first portion of the plurality of track density images.
Dependencies are inferred from the claim text.