Bibliografía

  1.  P. Callaghan. Principles of Nuclear Magnetic Resonance Microscopy . Ox- ford University Press, 1997.

  2. B. Fischl, D. H. Salat, E. Busa, M. Albert, M. Dieterich, C. Haselgro- ve, A. van der Kouwe, R. Killiany, D. Kennedy, S. Klaveness, A. Montillo, N. Makris, B. Rosen, and A. M. Dale. Whole Brain Segmentation: Automa- ted Labeling of Neuroanatomical Structures in the Human Brain. Neuron, 33(3):341–355, 2002.

  3. T. Heimann and H.-P. Meinzer. Statistical shape models for 3D medical image segmentation: A review. Medical Image Analysis, 13(4):543–563, 2009.

  4. M. Holden. A Review of Geometric Transformations for Nonrigid Body Registration. IEEE Transactions on Medical Imaging, 27(1):111–128, Jan. 2008.

  5. H. Johansen Berg and T. E. J. Behrens, editors. Diffusion MRI. Academic Press, 2009.

  6. G. L. Kindlmann, R. Estepar, S. Smith, and C.-F. Westin. Sampling and Visualizing Creases with Scale-Space Particles. IEEE Transactions on Vi- sualization and Computer Graphics, 15(6):1415–1424, 2009.

  7. W. E. Lorensen and H. E. Cline. Marching cubes: A high resolution 3D surface construction algorithm. SIGGRAPH Comput. Graph., 21(4):163– 169, 1987.

  8. M. Meyer, B. Nelson, R. Kirby, and R. Whitaker. Particle Systems for Efficient and Accurate High-Order Finite Element Visualization. IEEE Transactions on Visualization and Computer Graphics, 13(5):1015–1026, 2007.
  9. T. E. Nichols and A. P. Holmes. Nonparametric permutation tests for functional neuroimaging: a primer with examples. Human Brain Mapping, 15(1), 2002.
  10. N. Paragios, J. Duncan, and N. Ayache. Biomedical Image Analysis: Met- hodologies And Applications. Springer, 2012.
  11. S. M. Smith, M. Jenkinson, H. Johansen Berg, D. Rueckert, T. E. Nichols, C. E. Mackay, K. E. Watkins, O. Ciccarelli, M. Z. Cader, P. M. Matthews, and T. E. J. Behrens. Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data. NeuroImage, 31(4):1487–1505, July 2006. 

Class: 

Imágenes Médicas 2013