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Proceedings Paper

Coronary DSA: enhancing coronary tree visibility through discriminative learning and robust motion estimation
Author(s): Ying Zhu; Simone Prummer; Terrence Chen; Martin Ostermeier; Dorin Comaniciu
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Paper Abstract

Digital subtraction angiography (DSA) is a well-known technique for improving the visibility and perceptibility of blood vessels in the human body. Coronary DSA extends conventional DSA to dynamic 2D fluoroscopic sequences of coronary arteries which are subject to respiratory and cardiac motion. Effective motion compensation is the main challenge for coronary DSA. Without a proper treatment, both breathing and heart motion can cause unpleasant artifacts in coronary subtraction images, jeopardizing the clinical value of coronary DSA. In this paper, we present an effective method to separate the dynamic layer of background structures from a fluoroscopic sequence of the heart, leaving a clean layer of moving coronary arteries. Our method combines the techniques of learning-based vessel detection and robust motion estimation to achieve reliable motion compensation for coronary sequences. Encouraging results have been achieved on clinically acquired coronary sequences, where the proposed method considerably improves the visibility and perceptibility of coronary arteries undergoing breathing and cardiac movement. Perceptibility improvement is significant especially for very thin vessels. The potential clinical benefit is expected in the context of obese patients and deep angulation, as well as in the reduction of contrast dose in normal size patients.

Paper Details

Date Published: 27 March 2009
PDF: 8 pages
Proc. SPIE 7259, Medical Imaging 2009: Image Processing, 72590Y (27 March 2009); doi: 10.1117/12.812260
Show Author Affiliations
Ying Zhu, Siemens Corporate Research Inc. (United States)
Simone Prummer, Siemens AG (Germany)
Terrence Chen, Siemens Corporate Research Inc. (United States)
Martin Ostermeier, Siemens AG (Germany)
Dorin Comaniciu, Siemens Corporate Research Inc. (United States)

Published in SPIE Proceedings Vol. 7259:
Medical Imaging 2009: Image Processing
Josien P. W. Pluim; Benoit M. Dawant, Editor(s)

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