S. Chen and J. Carroll, Coronary Angiography " , Practical Signal and image processing in clinical cardiology, J. J. Goldberger and J. Ng Edts, pp.10-1007

J. Velut, P. Lentz, C. Philipot, M. Garcia, and C. Toumoulin, A qualitative and quantitative study of coronary artery MRA, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology, pp.5724-5731, 2010.
DOI : 10.1109/IEMBS.2010.5627865
URL : https://hal.archives-ouvertes.fr/inserm-00540498

J. Velut, P. A. Lentz, D. Boulmier, J. L. Coatrieux, and C. Toumoulin, Assessment of qualitative and quantitative features in coronary artery MRA, IRBM, vol.32, issue.4, pp.229-242, 2011.
DOI : 10.1016/j.irbm.2011.05.002
URL : https://hal.archives-ouvertes.fr/inserm-00678124

L. Xie, Y. Hu, J. Nunes, J. Bellanger, M. Bedossa et al., A model-based reconstruction method for 3-D Rotational Coronary Angiography, Proc. 32 nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp.3186-3189, 2010.
URL : https://hal.archives-ouvertes.fr/inserm-00540490

Y. Hu, M. Y. Jung, A. Oukili, G. Yang, J. Nunes et al., Sparse reconstruction from a limited projection number of the coronary artery tree in X-ray rotational imaging, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI), pp.804-807
DOI : 10.1109/ISBI.2012.6235670
URL : https://hal.archives-ouvertes.fr/hal-00702613

A. Bousse, A. Zhou, G. Yang, J. Bellanger, and C. Toumoulin, Motion Compensated Tomographic Reconstruction of Coronary Arteries in Rotational Angiography, pp.1254-1257, 2009.

E. Hansis, D. Schafer, G. Michael, and O. Dossel, An iterative method for the reconstruction of the coronary arteries from rotational x-ray angiography, Medical Imaging 2007: Physics of Medical Imaging, p.6510, 2007.
DOI : 10.1117/12.709319

U. Jandt, D. Schäfer, M. Grass, and V. Rasche, Automatic generation of 3D coronary artery centerlines using rotational X-ray angiography, Medical Image Analysis, vol.13, issue.6, p.846858, 2009.
DOI : 10.1016/j.media.2009.07.010

E. Keogh and M. Pazzani, Derivative Dynamic Time Warping, the 1 st SIAM Int. Conf. on Data Mining, 2001.
DOI : 10.1137/1.9781611972719.1

J. Garcia, B. Movassaghi, I. Casserly, A. Klein, S. Chen et al., Determination of optimal viewing regions for X-ray coronary angiography based on a quantitative analysis of 3D reconstructed models, The International Journal of Cardiovascular Imaging, vol.70, issue.2, pp.455-462, 2009.
DOI : 10.1007/s10554-008-9402-5

J. Bi, M. Grass, and D. Schafer, Optimization of acquisition trajectories for 3D rotational coronary venography, International Journal of Computer Assisted Radiology and Surgery, vol.28, issue.1, pp.19-28, 2010.
DOI : 10.1007/s11548-009-0398-7

P. Kitslaar, H. Marquering, and W. Jukema, Automated determination of optimal angiographic viewing angles for coronary artery bifurcations from CTA data, Medical Imaging 2008: Visualization, Image-guided Procedures, and Modeling, pp.69181-69182, 2008.
DOI : 10.1117/12.770255