Automatic organ finding framework
AssigneeSiemens Medical Solutions USA, Inc.
InventorCharles Hayden
Life of this patent
Estimating the term…
Abstract
A framework for automatically finding an organ in image data. In accordance with one aspect, a predetermined view of the organ is approximated by transforming the original image data to generate transformed image data. A best-match region in the transformed image data that best matches a synthesized geometric shape may then be found. The best-match region may be transformed into a volume space of the original image data to generate a location of the organ.
Claims20
A system for automatically finding a heart, comprising:
- a non-transitory memory device for storing computer readable program code;
- and
- a processor in communication with the memory device, the processor being operative with the computer readable program code to perform operations including
- receiving original image data of the heart,
- approximating a short-axis view of the heart by transforming the original image data to generate transformed image data,
- finding a best-match region in the transformed image data that best matches a synthesized cylinder, and
- transforming the best-match region into a volume space of the original image data to generate a location of the heart.
A method for automatically finding an organ, comprising:
- receiving original image data of the organ;
- approximating a predetermined view of the organ by transforming the original image data to generate transformed image data;
- finding a best-match region in the transformed image data that best matches a synthesized geometric shape;
- and
- transforming the best-match region into a volume space of the original image data to generate a location of the organ.
One or more non-transitory computer-readable media embodying instructions executable by machine to perform operations, comprising:
- receiving original image data of an organ;
- approximating a predetermined view of the organ by transforming the original image data to generate transformed image data;
- finding a best-match region in the transformed image data that best matches a synthesized geometric shape;
- and
- transforming the best-match region into a volume space of the original image data to generate a location of the organ.
Dependencies are inferred from the claim text.