A. Dodd, M. Riding, and N. John, Building realistic virtual environments using Java and VRML, Proceedings of Third Irish Workshop on Computer Graphics. Dublin, pp.53-61, 2002.

M. Ackerman, The Visible Human Project, Proceedings of the IEEE, vol.86, issue.3, pp.504-511, 1998.
DOI : 10.1109/5.662875

A. Liu, F. Tendick, and K. Cleary, A Survey of Surgical Simulation: Applications, Technology, and Education, Presence: Teleoperators and Virtual Environments, vol.81, issue.6, pp.599-614, 2003.
DOI : 10.1080/10867651.1997.10487480

A. Okamura, C. Simone, O. Leary, and M. , Force Modeling for Needle Insertion Into Soft Tissue, IEEE Transactions on Biomedical Engineering, vol.51, issue.10, pp.1707-1716, 2004.
DOI : 10.1109/TBME.2004.831542

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.330.9330

T. Azar and V. Hayward, Estimation of the Fracture Toughness of Soft Tissue from Needle Insertion, Lecture notes in Computer Science, vol.5104, pp.166-175, 2008.
DOI : 10.1007/978-3-540-70521-5_18

S. Neequaye, R. Aggarwal, and I. Van-herzeele, Endovascular skills training and assessment, Journal of Vascular Surgery, vol.46, issue.5, pp.1055-1064, 2007.
DOI : 10.1016/j.jvs.2007.05.041

URL : http://doi.org/10.1016/j.jvs.2007.05.041

I. Herzeele, R. Aggarwal, and A. Choong, Virtual reality simulation objectively differentiates level of carotid stent experience in experienced interventionalists, Journal of Vascular Surgery, vol.46, issue.5, pp.855-863, 2007.
DOI : 10.1016/j.jvs.2007.06.028

L. Militello and R. Hutton, Applied cognitive task analysis (ACTA): a practitioner's toolkit for understanding cognitive task demands, Ergonomics, vol.85, issue.11, pp.1618-1641, 1998.
DOI : 10.1002/job.4030150503

T. Grunwald, D. Clark, and S. Fisher, Using cognitive task analysis to facilitate collaboration in development of simulator to accelerate surgical training, Stud Health Technol Inform, vol.98, pp.114-120, 2004.

G. Velmahos, K. Toutouzas, and L. Sillin, Cognitive task analysis for teaching technical skills in an inanimate surgical skills laboratory, The American Journal of Surgery, vol.187, issue.1, pp.114-119, 2004.
DOI : 10.1016/j.amjsurg.2002.12.005

J. Schraagen, S. Chipman, V. Shalin, J. Schraagen, S. Chipman et al., Introduction to Cognitive task analysis, Cognitive Task Analysis, pp.3-23, 2000.

R. Clark and F. Estes, Cognitive task analysis for training, International Journal of Educational Research, vol.25, issue.5, pp.403-417, 1996.
DOI : 10.1016/S0883-0355(97)81235-9

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.114.5870

F. Vidal, F. Bello, and K. Brodlie, Principles and Applications of Computer Graphics in Medicine, Computer Graphics Forum, vol.25, issue.1, pp.113-137, 2006.
DOI : 10.1111/j.1467-8659.2006.00822.x

N. John and R. Mccloy, Navigating and visualizing three-dimensional data sets, The British Journal of Radiology, vol.77, issue.suppl_2, pp.108-113, 2004.
DOI : 10.1259/bjr/45222871

L. Grifin, A. Colchester, and S. Roll, Hierarchical Segmentation Satisfying Constraints, Procedings of the British Machine Vision Conference 1994, pp.135-144, 1994.
DOI : 10.5244/C.8.13

V. Luboz, Y. Song, and N. Din, Segmentations of 3D vasculatures for interventional radiology simulation, Proceedings of the Workshop of British Machine vision Association, 2008.

H. Si and K. Gartner, Meshing Piecewise Linear Complexes by Constrained Delaunay Tetrahedralizations, Proceedings of the 14th International Meshing Roundtable, pp.147-164, 2005.
DOI : 10.1007/3-540-29090-7_9

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.126.6052

O. Zienkiewicz, R. Taylor, and J. Zhu, The inite element method, its basis and fundamentals, Oxford, p.733, 2005.

F. Chen, L. Gu, and P. Huang, Soft tissue modeling using nonlinear mass spring and simpliied medial representation, Proceedings of the 29 th Annual International Conference of the Ieee eMBS, pp.5083-5086, 2007.
DOI : 10.1109/iembs.2007.4353483

A. Zorcolo, E. Gobbetti, and G. Zanetti, A Volumetric Virtual Environment for Catheter Insertion Simulation, Eurographics Association Research and Development, issue.CRS4, 2000.
DOI : 10.1007/978-3-7091-6785-4_14

C. Basdogan, S. De, and J. Kim, Haptic rendering - beyond visual computing - Haptics in minimally invasive surgical simulation and training, IEEE Computer Graphics and Applications, vol.24, issue.2, pp.56-64, 2004.
DOI : 10.1109/MCG.2004.1274062

F. Vidal, N. John, and A. Healey, Simulation of ultrasound guided needle puncture using patient specific data with 3D textures and volume haptics, Computer Animation and Virtual Worlds, vol.211, issue.2, pp.111-127, 2008.
DOI : 10.1002/cav.217

K. Sherman, J. Ward, and V. Sherman, Surgical trainee assessment using a VE knee arthroscopy training system (VE-KATS): Experimental results. Proceedings of Medicine Meets virtual Reality, pp.465-470, 2001.

N. John, Using stereoscopy for medical VR In: Medicine Meets virtual Reality 02, Studies in Health Technology and Informatics, vol.10, 2002.

A. Jackson, N. John, and N. Thacker, Developing a Virtual Reality Environment in Petrous Bone Surgery: A State-of-the-Art Review, Otology & Neurotology, vol.23, issue.2, pp.111-121, 2002.
DOI : 10.1097/00129492-200203000-00001

T. Poston and L. Serra, Dextrous virtual work, Communications of the ACM, vol.39, issue.5, pp.37-45, 1996.
DOI : 10.1145/229459.229464

A. Freudenthal, E. Samset, and B. Gersak, Augmented reality in surgery ARIS*ER, research training network for minimally invasive therapy technologies, endoscopic Review, vol.10, pp.5-10, 2005.

N. Seymour, A. Gallagher, and S. Roman, Virtual Reality Training Improves Operating Room Performance, Annals of Surgery, vol.236, issue.4, pp.458-464, 2002.
DOI : 10.1097/00000658-200210000-00008

D. Gould, D. Kessel, and A. Healey, Simulators in catheter-based interventional radiology: training or computer games?, Clinical Radiology, vol.61, issue.7, pp.556-561, 2006.
DOI : 10.1016/j.crad.2006.01.013