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Abstract #3139

Automated Coronary Artery Ostia Detection in Magnetic Resonance Angiography

Bernhard Stimpel1, Christoph Forman2, Jens Wetzl1,3, Michaela Schmidt2, Andreas Maier1,3, and Mathias Unberath1,3

1Pattern Recognition Lab, Department of Computer Science, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany, 2Magnetic Resonance, Siemens Healthcare GmbH, Erlangen, Germany, 3Erlangen Graduate School in Advanced Optical Technologies (SAOT), Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany

Anomalies of the coronary ostia can have severe consequences. To provide a screening solution, automated ostia detection based on single breath-hold coronary MRA scans is presented. The aorta is segmented in the data sets to serve as an orientation point and vesselness enhancing filters are applied. Searching the aorta surface for high vessel responses by a ray-tracing procedure yields information about the position of the coronary ostia. The proposed approach was successfully validated in 10 volunteers with an average deviation of $$$7.6 \pm 1.0$$$° in angular and $$$1.2 \pm 0.58$$$ mm in superior-inferior direction.

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