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Abstract #2619

Automatic coronary centerline tracking from coronary MRI

Arna van Engelen1, Markus Henningsson1, and Rene Botnar1

1Department of Biomedical Engineering, Division of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom

The aim of this study was to perform automatic coronary artery centerline tracking on coronary MRI data, in a clinically relevant population. Our method consisted of computation of a vesselness filter followed by fast marching. Parameters were optimized on three subjects, and performance was evaluated on 27 other subjects. Centrelines were traced between a start and end point, and when needed with one additional point in between. Tracking was successful in 92% (RCA), 88% (LAD) and 65% (LCX), with a median distance from manual annotation of 1.0mm. These results show that automatic centerline tracking on coronary MRI data is possible.

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