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MICCAI
2010
Springer

Fast Automatic Detection of Calcified Coronary Lesions in 3D Cardiac CT Images

10 years 9 months ago
Fast Automatic Detection of Calcified Coronary Lesions in 3D Cardiac CT Images
Abstract. Even with the recent advances in multidetector computed tomography (MDCT) imaging techniques, detection of calcified coronary lesions remains a highly tedious task. Noise, blooming and motion artifacts etc. add to its complication. We propose a novel learning-based, fully automatic algorithm for detection of calcified lesions in contrastenhanced CT data. We compare and evaluate the performance of two supervised learning methods. Both these methods use rotation invariant features that are extracted along the centerline of the coronary. Our approach is quite robust to the estimates of the centerline and works well in practice. We are able to achieve average detection times of 0.67 and 0.82 seconds per volume using the two methods.
Sushil Mittal, Yefeng Zheng, Bogdan Georgescu, Fer
Added 14 Feb 2011
Updated 14 Feb 2011
Type Journal
Year 2010
Where MICCAI
Authors Sushil Mittal, Yefeng Zheng, Bogdan Georgescu, Fernando Vega Higuera, Shaohua Kevin Zhou, Peter Meer, Dorin Comaniciu
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