Abstract
The Quantitative Coronary Angiography (QCA) is a methodology used to evaluate the arterial diseases and, in particular, the degree of stenosis. In this paper we propose AQCA, a fully automatic method for vessel segmentation based on graph cut theory. Vesselness, geodesic paths and a new multi-scale edgeness map are used to compute a globally optimal artery segmentation. We evaluate the method performance in a rigorous numerical way on two datasets. The method can detect an artery with precision 92.9 ±5% and sensitivity 94.2 ±6%. The average absolute distance error between detected and ground truth centerline is 1.13 ±0.11 pixels (about 0.27±0.025mm) and the absolute relative error in the vessel caliber estimation is 2.93% with almost no bias. Moreover, the method can discriminate between arteries and catheter with an accuracy of 96.4%.
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Benmansour, F., Cohen, L.: Tubular structure segmentation based on minimal path method and anisotropic enhancement, vol. 92, pp. 192–210. Springer, Netherlands (2011)
Boykov, Y., Funka-Lea, G.: Graph cuts and efficient n-d image segmentation, vol. 70, pp. 109–131. Kluwer Academic Publishers, Hingham (2006)
Boykov, Y., Kolmogorov, V.: An experimental comparison of min-cut/max-flow algorithms for energy minimization in vision, vol. 26, pp. 359–374. IEEE Computer Society, Los Alamitos (2001)
Candemir, S., Akgul, Y.: Adaptive regularization parameter for graph cut segmentation. In: Campilho, A., Kamel, M. (eds.) ICIAR 2010. LNCS, vol. 6111, pp. I:117–I:126. Springer, Heidelberg (2010)
Fallavollita, P., Cheriet, F.: Towards an automatic coronary artery segmentation algorithm. In: EMBS 2006, pp. 3037–3040. IEEE Computer Society, Los Alamitos (August 2006)
Frangi, A.F., Niessen, W.J., Vincken, K.L., Viergever, M.A.: Multiscale vessel enhancement filtering. In: Wells, W.M., Colchester, A.C.F., Delp, S.L. (eds.) MICCAI 1998. LNCS, vol. 1496, pp. 130–137. Springer, Heidelberg (1998)
Kirbas, C., Quek, F.: A review of vessel extraction techniques and algorithms, vol. 36, pp. 81–121. ACM, New York (2004)
Kolmogorov, V., Zabih, R.: What energy functions can be minimized via graph cuts, vol. 26, pp. 65–81. IEEE Computer Society, Los Alamitos (2004)
Lopez, A.M., Lumbreras, F., Serrat, J., Villanueva, J.J.: Evaluation of methods for ridge and valley detection, vol. 21, pp. 327–335. IEEE Computer Society, Los Alamitos (1999)
Mirzaalian, H., Hamarneh, G.: Vessel scale-selection using mrf optimization. In: CVPR, pp. 3273–3279. IEEE Computer Society, Los Alamitos (June 2010)
Schaap, M., van Walsum, T., Niessen, W.: Standardized evaluation methodology and reference database for evaluating coronary artery centerline extraction algorithms, vol. 13, pp. 701–714. Elsevier, Amsterdam (2009)
Schneider, M., Sundar, H.: Automatic global vessel segmentation and catheter removal using local geometry information and vector field integration. In: IEEE ISBI, pp. 45–48. IEEE Press, Los Alamitos (2010)
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Hernández-Vela, A., Gatta, C., Escalera, S., Igual, L., Martin-Yuste, V., Radeva, P. (2011). Accurate and Robust Fully-Automatic QCA: Method and Numerical Validation. In: Fichtinger, G., Martel, A., Peters, T. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2011. MICCAI 2011. Lecture Notes in Computer Science, vol 6893. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23626-6_61
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DOI: https://doi.org/10.1007/978-3-642-23626-6_61
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