D. Lesage, E. Angelini, I. Bloch, and G. Funka-lea, A review of 3D vessel lumen segmentation techniques: Models, features and extraction schemes, Medical Image Analysis, vol.13, issue.6, pp.819-845, 2009.
DOI : 10.1016/j.media.2009.07.011

W. Wong and A. Chung, Probabilistic vessel axis tracing and its application to vessel segmentation with stream surfaces and minimum cost paths, Medical Image Analysis, vol.11, issue.6, pp.567-587, 2007.
DOI : 10.1016/j.media.2007.05.003

H. Li, A. Yezzi, and L. Cohen, 3D Multi-branch Tubular Surface and Centerline Extraction with 4D Iterative Key Points, LNCS, vol.5761, pp.1042-1050, 2009.
DOI : 10.1007/978-3-642-04271-3_126

URL : https://hal.archives-ouvertes.fr/hal-00701395

O. Friman, M. Hindennach, C. Kühnel, and H. Peitgen, Multiple hypothesis template tracking of small 3D vessel structures, Medical Image Analysis, vol.14, issue.2, pp.160-171, 2010.
DOI : 10.1016/j.media.2009.12.003

T. Chaperon and F. Goulette, Extracting cylinders in full 3D data using a random sampling method and the Gaussian image, [Vision Modeling and Visualization Conference, pp.35-42, 2001.
URL : https://hal.archives-ouvertes.fr/hal-01259641

C. Beder and W. Förstner, Direct Solutions for Computing Cylinders from Minimal Sets of 3D Points, [9th European Conference on Computer Vision (ECCV'06)], pp.135-146, 2006.
DOI : 10.1007/11744023_11

M. Schaap, C. Metz, T. Van-walsum, A. Van-der-giessen, A. Weustink et al., Standardized evaluation methodology and reference database for evaluating coronary artery centerline extraction algorithms, Medical Image Analysis, vol.13, issue.5, pp.701-714, 2009.
DOI : 10.1016/j.media.2009.06.003

URL : https://hal.archives-ouvertes.fr/hal-00443459

M. Schaap, L. Neefjes, C. Metz, A. Van-der-giessen, A. Weustink et al., Coronary Lumen Segmentation Using Graph Cuts and Robust Kernel Regression, [Information Processing and Medical Imaging (IPMI'09)], pp.528-539, 2009.
DOI : 10.1016/j.jacc.2005.03.067