S. Tisch, L. Zrinzo, P. Limousin, K. P. Bhatia, N. Quinn et al., Effect of electrode contact location on clinical efficacy of pallidal deep brain stimulation in primary generalised dystonia, Journal of Neurology, Neurosurgery & Psychiatry, vol.78, issue.12, pp.1314-1319, 2007.
DOI : 10.1136/jnnp.2006.109694

M. K. York, E. A. Wilde, R. Simpson, and J. Jankovic, Relationship between neuropsychological outcome and DBS surgical trajectory and electrode location, Journal of the Neurological Sciences, vol.287, issue.1-2, pp.159-171, 2009.
DOI : 10.1016/j.jns.2009.08.003

F. Lalys, C. Haegelen, M. Mehri, S. Drapier, M. Verin et al., Anatomo-clinical atlases correlate clinical data and electrode contact coordinates: Application to subthalamic deep brain stimulation, Journal of Neuroscience Methods, vol.212, issue.2, 2012.
DOI : 10.1016/j.jneumeth.2012.11.002
URL : https://hal.archives-ouvertes.fr/inserm-00750921

D. Dormont, D. Seidenwurm, D. Galanaud, P. Cornu, J. Yelnik et al., Neuroimaging and Deep Brain Stimulation, American Journal of Neuroradiology, vol.31, issue.1, pp.15-23, 2010.
DOI : 10.3174/ajnr.A1644
URL : https://hal.archives-ouvertes.fr/hal-00805431

T. Guo, K. W. Finnis, A. G. Parrent, and T. M. Peters, Visualization and navigation system development and application for stereotactic deep-brain neurosurgeries, Computer Aided Surgery, vol.27, issue.1, pp.231-239, 2006.
DOI : 10.1002/mds.870120312

S. Miocinovic, A. Noecker, C. Maks, C. Butson, and C. C. Mcintyre, Cicerone: stereotactic neurophysiological recording and deep brain stimulation electrode placement software system, In: Operative Neuromodulation, pp.561-567, 2007.
DOI : 10.1007/978-3-211-33081-4_65

P. F. Dhaese, S. Pallavaram, R. Li, M. S. Remple, C. Kao et al., CranialVault and its CRAVE tools: A clinical computer assistance system for deep brain stimulation (DBS) therapy, Medical Image Analysis, vol.16, issue.3, pp.744-753, 2012.
DOI : 10.1016/j.media.2010.07.009

S. Pallavaram, F. T. Phibbs, C. Tolleson, T. L. Davis, J. Fang et al., Neurologist Consistency in Interpreting Information Provided by an Interactive Visualization Software for Deep Brain Stimulation Postoperative Programming Assistance, Neuromodulation: Technology at the Neural Interface, vol.76, issue.1
DOI : 10.1111/ner.12061

L. Zrinzo, A. L. Van-hulzen, A. A. Gorgulho, P. Limousin, M. J. Staal et al., Avoiding the ventricle: a simple step to improve accuracy of anatomical targeting during deep brain stimulation, Journal of Neurosurgery, vol.110, issue.6, pp.1283-1290, 2009.
DOI : 10.3171/2008.12.JNS08885

D. Rivière, J. Régis, Y. Cointepas, D. Papadopoulos-orfanos, A. Cachia et al., A freely available anatomist/brainvisa package for structural morphometry of the cortical sulci, Neuroimage, vol.192, issue.2, pp.19-22, 2003.

S. Pallavaram, H. Yu, J. Spooner, P. F. Dhaese, B. Bodenheimer et al., Intersurgeon Variability in the Selection of Anterior and Posterior Commissures and Its Potential Effects on Target Localization, Stereotactic and Functional Neurosurgery, vol.86, issue.2, pp.113-119, 2008.
DOI : 10.1159/000116215

M. Jenkinson and . Smith, A global optimisation method for robust affine registration of brain images, Medical Image Analysis, vol.5, issue.2, pp.143-156, 2001.
DOI : 10.1016/S1361-8415(01)00036-6

M. Jenkinson, P. Bannister, M. Brady, and . Smith, Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images, NeuroImage, vol.17, issue.2, pp.825-841, 2002.
DOI : 10.1006/nimg.2002.1132

C. Haegelen, P. Coupé, V. Fonov, N. Guizard, P. Jannin et al., Automated segmentation of basal ganglia and deep brain structures in MRI of Parkinson???s disease, International Journal of Computer Assisted Radiology and Surgery, vol.26, issue.4, pp.99-110, 2013.
DOI : 10.1007/s11548-012-0675-8

F. Lalys, C. Haegelen, A. Abadie, and P. Jannin, Post-operative assessment in Deep Brain Stimulation based on multimodal images: registration workflow and validation, Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modeling, pp.72612-72613, 2009.
DOI : 10.1117/12.810475
URL : https://hal.archives-ouvertes.fr/inserm-00616970

B. B. Avants, C. L. Epstein, M. Grossman, and J. C. Gee, Symmetric diffeomorphic image registration with cross-correlation: Evaluating automated labeling of elderly and neurodegenerative brain, Medical Image Analysis, vol.12, issue.1, pp.26-41, 2008.
DOI : 10.1016/j.media.2007.06.004

A. Klein, J. Andersson, B. A. Ardekani, J. Ashburner, B. Avants et al., Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration, NeuroImage, vol.46, issue.3, p.786, 2009.
DOI : 10.1016/j.neuroimage.2008.12.037
URL : https://hal.archives-ouvertes.fr/inserm-00360790

K. S. Arun, T. S. Huang, and S. D. Blostein, Least-Squares Fitting of Two 3-D Point Sets, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.9, issue.5, pp.698-700, 1987.
DOI : 10.1109/TPAMI.1987.4767965

C. Essert, C. Haegelen, F. Lalys, A. Abadie, and P. Jannin, Automatic computation of electrode trajectories for Deep Brain Stimulation: a hybrid symbolic and numerical approach, International Journal of Computer Assisted Radiology and Surgery, vol.287, issue.1-2, pp.517-532, 2012.
DOI : 10.1007/s11548-011-0651-8
URL : https://hal.archives-ouvertes.fr/inria-00637291

F. Lalys, C. Haegelen, T. Dalbis, and P. Jannin, Analysis of electrode deformations in deep brain stimulation surgery, International Journal of Computer Assisted Radiology and Surgery, vol.24, issue.1, pp.107-117, 2014.
DOI : 10.1007/s11548-013-0911-x
URL : https://hal.archives-ouvertes.fr/inserm-00836932