Brain mapping using topology graphs obtained by surface segmentation

Mathematics and Visualization

Volumn 0, Issue 9783540260660, 2006, Pages 35-48

  Vivodtzev, Fabien ^a   Linsen, Lars ^b   Hamann, Bernd ^b   Joy, Kenneth I ^b   Olshausen, Bruno A ^c  

^a GRENOBLE INSTITUTE OF TECHNOLOGY   (France)

^b University of California Davis   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

GRAPH STRUCTURES; MAPPING; TOPOLOGY;

CORTICAL REGIONS; CORTICAL SURFACES; DISCRETE CURVATURES; GEOMETRICAL PROPERTY; SURFACE SEGMENTATION; TOPOLOGICAL INFORMATION; TOPOLOGY GRAPHS; VOLUME DATA SETS;

BRAIN MAPPING;

EID: 84863051264     PISSN: 16123786     EISSN: 2197666X     Source Type: Book Series    
DOI: 10.1007/3-540-30790-7_3     Document Type: Chapter

References (31)

1. C. Baillard and C. Barillot. Robust 3d segmentation of anatomical structures with level lets. In G.-P. Bonneau, S. Hahmann, and Charles D. Hansen, editors, Proceedings of Medical Image Computing and Computer-Assisted Intervention, MICCAI’00, LNCS 1935, pages 236-245, 2000.
2. F.L. Bookstein. Thin-plate splines and the atlas problem for biomedical images. In A. Colchester and D. Hawkes, editors, 12th Internat. Conf. Information Processing in Medical Imaging, vol. 511 of Lecture Notes in Computer Science, pages 326-342, 1991.
3. P. Cachier, J.F. Mangin, X. Pennec, D. Riviere, D. Papadopoulos-Orfanos, J. Regis, and N. Ayache. Multisubject non-rigid registration of brain MRI using intensity and geometric features. In W.J. Niessen and M.A. Viergever, editors, 4th Int. Conf. on Medical Image Computing and Computer-Assisted Intervention (MICCAI’01), vol. 2208 of Lecture Notes in Computer Science, pages 734-742, 2001.
4. D.L. Collins, G. Le Goualher, and A.C. Evans. Non-linear cerebral registration with sulcal constraints. In First International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), LNCS 1496, pages 974-984, 1998.
5. D.L. Collins, T.M. Peters, and A.C. Evans. An automated 3d nonlinear image deformation procedure for determination of gross morphometric variability in human brain. In Proc. Conf. Visualization in Biomedical Computing, SPIE 2359, pages 180-190, 1994.
6. D.W. Eggert, A. Lorusso, and R.B. Fisher. Estimating 3-d rigid body transformation: a comparison of four major algorithms. Machine Vision and Applications, 9:272-290, 1997.
7. M. Garland and P.S. Heckbert. Surface simplification using quadric error metrics. Computer Graphics, 31st Annual Conference Series, pages 209-216, 1997.
8. R.D. Rabbitt G.E. Christensen and M.I. Miller. β-d brain mapping using a deformable neuroanatomy. Physics in Medicine and Biology, 39:609-618, 1994.
9. J.C. Gee, M. Reivich, and R. Bajcsy. Elastically deforming 3-d atlas to match anatomical brain images. Journal of Computer Assisted Tomography, 17:225-236, 1993.
10. G. Le Goualher, E. Procyk, L. Collins, R. Venegopal, C. Barillot, and A. Evans. Automated extraction and variability analysis of sulcal neuroanatomy. IEEE Transactions on Medical Imaging, TMI, 18(3):206-217, 1999.
11. T. Greitz, C. Bohm, S. Holte, and L. Eriksson. A computerized brain atlas: Construction, anatomical content, and some applications. Journal of Computer Assisted Tomography, 15:26-38, 1991.
12. B. Hamann. Curvature approximation for triangulated surfaces. In G. Farin, H. Hagen, and H. Noltemeier, editors, Geometric Modelling, Computing Suppl. 8, pages 139-153. Springer-Verlag, 1993.
13. P. Hellier and C. Barillot. Coupling dense and landmark-based approaches for non-rigid registration. IEEE Transactions on Medical Imaging, 22:974-984, 2003.
14. H. Hoppe. Progressive meshes. In Proceedings of SIGGRAPH1996, pages 99-108. ACM Press, 1996.
15. H. Hoppe, T.D. DeRose, T. Duchamp, J. McDonald, and W. Stuetzle. Mesh optimization. In Proceedings of SIGGRAPH 1993, pages 19-26. ACM Press, 1993.
16. S. Jaume, B. Macq, and S.K. Warfield. Labeling the brain surface using a deformable multiresolution mesh. In Proceedings of Medical Image Computing and Computer-Assisted Intervention, MICCAI2002, pages 451-458, 2002.
17. P. Lindstrom and G. Turk. Fast and efficient polygonal simplification. In Proceedings of IEEE Conference on Visualization 1998, pages 279-286. IEEE Computer Society Press, 1998.
18. G. Lohmann and D.Y. von Cramon. Automatic labeling of the human cortical surface using sulcal basins. Medical Image Analysis, 4(3):179-188, 2000.
19. William E. Lorensen and Harvey E. Cline. Marching cubes: A high resolution 3d surface construction algorithm. In Proceedings of the 14th annual conference on Computer graphics and interactive techniques - SIGGRAPH 1987, pages 163-169. ACM Press, 1987.
20. A. Witkin M. Kass and D. Terzopoulos. Snakes: Active contour models. International Journal of Computer Vision, 1(4):321-331, 1988.
21. R. Malladi, J.A. Sethian, and B.C. Vemuri. Shape modeling with front propagation: A level set approach. IEEE Transactions on PAMI, 17(2):158-175, 1995.
22. D. Riviere, J.F. Mangin, D. Papadopoulos, J.M. Martinez, V. Frouin, and J. Regis. Automatic recognition of cortical sulci using a congregation of neural networks. In Third International Conference on Medical Robotics, MICCAI’00, Imaging and Computer Assisted Surgery, pages 40-49, 2000.
23. R. Ronfard and J. Rossignac. Full-range approximation of triangulated polyhedra. Computer Graphics Forum, Proceedings of Eurographics 1996, 15(3), 1996.
24. S. Sandor and R. Leahy. Surface-based labeling of cortical anatomy using a deformable atlas. IEEE Transaction on Medical Imaging, 16(1):41-54, 1997.
25. D. Shulga and J. Meyer. Aligning large-scale medical and biological data sets: Exploring a monkey brain. In Visualization, Imaging and Image Processing (VIIP 2001), pages 434-439. The International Association of Science and Technology for Development (IASTED), 2001.
26. J. Talairach and P. Tournoux. Co-Planar Stereotaxic Atlas of the Human Brain, 3Dimensional Proportional System: An Approach to Cerebral Imaging. Thieme Medical Publisher, Inc., Georg Thieme Verlag, 1988.
27. P. Thompson and A.W. Toga. Detection, visualization and animation of abnormal anatomic structure with a deformable probabilistic brain atlas based on random vector field transformation. Medical Image Analysis, 1(2):271-294, 1996.
28. P.M. Thompson, R.P. Woods, M.S. Mega, and A.W. Toga. Mathematical/computational challenges in creating deformable and probabilistic atlases of the human brain. Human Brain Mapping, 9:81-92, 2000.
29. M. Vailland and C. Davatzikos. Hierarchical matching of cortical features for deformable brain image registration. In Proceeding of IPMI’99, LNCS1613, Springer-Verlag, Berlin, Germany, pages 182-195, 1999.
30. D.C. Van Essen, J. Harwell, D. Hanlon, and J.P.M. Dickson. Surface-based atlases and a database of cortical structure and function. In S.H. Koslow and S. Subramaniam, editors, Databasing the Brain: From Data to Knowledge (Neuroinformatics), John Wiley & Sons, 2003.
31. Fabien Vivodtzev, Lars Linsen, Georges-Pierre Bonneau, Bernd Hamann, Kenneth I. Joy, and Bruno A. Olshausen. Hierarchical isosurface segmentation based on discrete curvature. In G.-P. Bonneau, S. Hahmann, and Charles D. Hansen, editors, Proceedings of VisSym’03, Eurographics-IEEE TVCG Symposium on Visualization, 2003.