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Vessel Tracking Algorithm using Multiple Local Smooth Paths
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 Title & Authors
Vessel Tracking Algorithm using Multiple Local Smooth Paths
Jeon, Byunghwan; Jang, Yeonggul; Han, Dongjin; Shim, Hackjoon; Park, Hyungbok; Chang, Hyuk-Jae;
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 Abstract
A novel tracking method is proposed to find coronary artery using high-order curve model in coronary CTA(Computed Tomography Angiography). The proposed method quickly generates numerous artificial trajectories represented by high-order curves, and each trajectory has its own cost. The only high-ranked trajectories, located in the target structure, are selected depending on their costs, and then an optimal curve as the centerline will be found. After tracking, each optimal curve segment is connected, where optimal curve segments share the same point, to a single curve and it is a piecewise smooth curve. We demonstrated the high-order curve is a proper model for classification of coronary artery. The experimental results on public data set sho that the proposed method is comparable at both accuracy and running time to the state-of-the-art methods.
 Keywords
Coronary Artery;Tracking;Optimal smooth path;Bezier Curve;
 Language
Korean
 Cited by
1.
CT Bolus Tracking System을 이용한 조영제의 혈관외유출 검출,권대철;이용구;

전자공학회논문지, 2016. vol.53. 9, pp.137-142 crossref(new window)
 References
1.
Alan D Lopez, Colin D Mathers, Majid Ezzati, Dean T Jamison, and Christopher JL Murray, "Global and regional burden of disease and risk factors, 2001: systematic analysis of population health data," The Lancet, vol. 367, no. 9524, pp. 1747-1757, 2006. crossref(new window)

2.
C. Metz, M. Schaap, T. van Walsum, and W. Niessen,"Two point minimum cost path approach for cta coronary centerline extraction," The Insight Journal 12 2008.

3.
K. Krissian, H. Bogunovic, J. Pozo, M. Villa-Uriol, and A. Frangi, "Minimally interactive knowledge-based coronary tracking in cta using a minimal cost path," 07 2008.

4.
Johannes Ulen, Petter Strandmark, and Fredrik Kahl, "Shortest paths with higher-order regularization," IEEE Transactions on Pattern Analysis and Machine Intelligence 2015.

5.
Yefeng Zheng, Huseyin Tek, and Gareth Funka-Lea, "Robust and accurate coronary artery centerline extraction - MICCAI 2013, pp. 74-81. Springer, 2013.

6.
Huseyin Tek, M Akif Gulsun, Soizic Laguitton, Leo Grady, David Lesage, and Gareth Funka-Lea, "Automatic coronary tree modeling," The Insight Journal, 2008.

7.
Christian Bauer and Horst Bischof, "Edge based tube detection for coronary artery centerline extraction," The Insight Journal, 2008.

8.
JT Dodge, B Greg Brown, Edward L Bolson, and Harold T Dodge. Lumen diameter of normal human coronary rteries. influence of age, sex, anatomic variation, and left ventricular hypertrophy or dilation. Circulation, 6(1):232-246, 1992.

9.
Daniel Dunbar and Greg Humphreys. A spatial data structure for fast poisson-disk sample generation. In ACM Transactions on Graphics (TOG), volume 25, pages 503-508. ACM, 2006. crossref(new window)

10.
M. Schaap, C.T. Metz, T. van Walsum, A.G. van der Giessen, A.C. Weustink, N.R.A. Mollet, C. Bauer, H. Bogunovi?, C. Castro, X. Deng, E. Dikici, T. O'Donnell, M. Fre- nay, O. Friman, M. Hern?ndez Hoyos, P.H. Kitslaar, K. Krissian, C. K?hnel, M. A. Luengo-Oroz, M. Orkisz, ? Smedby, M. Styner, A. Szymczak, H. Tek, C. Wang, S. K. Warfield, S. Zambal, Y. Zhang, G. P. Krestin, and W.J. Niessen. Standardized evaluation methodology and reference database for evaluating coronary artery centerline extraction algorithms. Medical Image Analysis, 13/5:701-714, 2009. crossref(new window)