Automated surface-based anatomical analysis based on atlas-based segmentation of medical imaging
AssigneeThe John Hopkins University
InventorsMichael I. Miller, Susumu Mori, Anqi Qiu
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Abstract
A non-invasive imaging system, including: a non-invasive imaging scanner; a signal processing unit in communication with the imaging scanner to receive an imaging signal from a subject under observation; and a data storage unit in communication with the signal processing unit, wherein the data storage unit stores template data corresponding to a tissue region of the subject, and wherein the signal processing unit is adapted to generate a surface map to encode a property of a subvolume of the tissue region using the template data.
Claims27
A non-invasive imaging system, comprising:
- a non-invasive imaging scanner;
- and
- a computer comprising:
- a signal processing unit in communication with said imaging scanner to receive imaging data of a tissue region from a subject under observation;
- and
- a data storage unit in communication with said signal processing unit, wherein said data storage unit stores template data corresponding to said tissue region of said subject, the template data of said subject comprising a plurality of template substructures,
- wherein said signal processing unit is adapted to:
- transform the template data to fit said plurality of template substructures to the imaging data through a shape transformation;
- calculate parameters of the shape transformation for at least one template substructure;
- and
- generate a surface map of said at least one of said template substructures based on said calculated parameters,
- wherein said surface map encodes a measure of shape differences between said template data and said tissue region.
A method of processing images on a computer, comprising:
- receiving imaging data of a tissue region of a subject under observation on a non-invasive imaging system;
- receiving template data corresponding to said tissue region of the subject under observation, the template data of said subject comprising a plurality of template substructures;
- transforming the template data to fit said plurality of template substructures to the imaging data through a shape transformation;
- calculating parameters of the shape transformation for at least one template substructure;
- and
- generating a surface map of said at least one of said substructures using the computer based on said calculated parameters,
- wherein said surface map encodes a measure of shape differences between said template data and said tissue region.
Dependencies are inferred from the claim text.