Method and System for Automatic Detection of Coronary Stenosis in Cardiac Computed Tomography Data
AssigneesSiemens Corporate Research, Inc., Siemens Aktiengesellschaft
InventorsSushil Mittal, Yefeng Zheng, Bogdan Georgescu, Fernando Vega-Higuera, Dorin Comaniciu
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Abstract
A method and system for automatic coronary stenosis detection in computed tomography (CT) data is disclosed. Coronary artery centerlines are obtained in an input cardiac CT volume. A trained classifier, such as a probabilistic boosting tree (PBT) classifier, is used to detect stenosis regions along the centerlines in the input cardiac CT volume. The classifier classifies each of the control points that define the coronary artery centerlines as a stenosis point or a non-stenosis point.
Claims24
A method for detecting coronary stenosis in a cardiac computed tomography (CT) volume, comprising:
- obtaining at least one coronary artery centerline in said CT volume;
- and
- detecting stenosis regions along said at least one coronary artery centerline in said CT volume using a trained classifier.
An apparatus for detecting coronary stenosis in a cardiac computed tomography (CT) volume, comprising:
- means for obtaining at least one coronary artery centerline in said CT volume;
- and
- means for detecting stenosis regions along said at least one coronary artery centerline in said CT volume using a trained classifier.
A computer readable medium encoded with computer executable instructions for detecting coronary stenosis in a cardiac computed tomography (CT) volume, the computer executable instructions defining steps comprising:
- obtaining at least one coronary artery centerline in said CT volume;
- and
- detecting stenosis regions along said at least one coronary artery centerline in said CT volume using a trained classifier.
Dependencies are inferred from the claim text.