Fibre tracking on the basis of macroscopic information
AssigneeKoninklijke Philips Electronics N.V.
InventorsRonaldus Frederik Johannes Holthuizen, Frank Hoogenraad, Arianne Van Muiswinkel
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Abstract
A diffusion data processing apparatus comprising a segmenter arranged to segment the diffusion tensor data according to at least one segmentation model representing at least part of a fiber bundle. The segmentation model may comprise macroscopic and/or microscopic information. This leads to a segmentation of the fiber bundle that is robust and less influenced by non-perfections of the data set, such as low signal-to-noise ratio, partial voluming, or other imaging artifacts.
Claims20
A diffusion data processing apparatus comprising:
- a fiber contents processor arranged to determine the fiber contents per voxel of diffusion data generated by a diagnostic imaging device;
- a region of interest processor arranged to determine a region of interest in the diffusion data;
- and
- a segmentation processor arranged to segment said diffusion data according to at least one segmentation model representing at least part of a fiber bundle to obtain a best fit model of the segmentation model to the fiber contents, the segmentation model including a plurality of segmentation model divisions, each division corresponding to a voxel.
A method of processing diffusion data, said method comprising:
- with a processor, segmenting said diffusion data acquired from a magnetic resonance imaging apparatus including retrieving segmentation models representing at least part of a fiber bundle from a segmentation model data base and comparing the diffusion data with the retrieved segmentation models to determine a best fit model;
- presenting at least one of the best fit diffusion model and diffusion information from the best fit diffusion model in a report or on a display device.
A magnetic resonance imaging apparatus comprising:
- a magnetic resonance imaging scanner for obtaining diffusion data sensitive to local diffusion;
- a database of segmentation models for various types of fiber bundles;
- and
- a segmentation processor that retrieves the segmentation models from the database and compares each segmentation model with the diffusion data in order to determine a best fit segmentation model.
Dependencies are inferred from the claim text.