Automatic recognition of cortical sulci of the human brain using a congregation of neural networks

Medical Image Analysis

Volumn 6, Issue 2, 2002, Pages 77-92

  Rivière, Denis ^a   Mangin, Jean François ^a   Papadopoulos Orfanos, Dimitri ^a   Martinez, Jean Marc ^b   Frouin, Vincent ^a   Régis, Jean ^c  

^a DIF   (France)

^b CEA SACLAY   (France)

^c Service de Neurochirurgie Fonctionnelle et Stereotaxique   (France)

Author keywords

Automatic recognition system; Cortical sulci; Folding patterns; Neural networks

Indexed keywords

ANALYTIC METHOD; ARTICLE; AUTOANALYSIS; BRAIN CORTEX; CONTROLLED STUDY; DATA BASE; HUMAN; IMAGE PROCESSING; IMAGING SYSTEM; INFORMATION PROCESSING; NERVE CELL NETWORK; NEUROANATOMY; NUCLEAR MAGNETIC RESONANCE IMAGING; PATTERN RECOGNITION; PRIORITY JOURNAL; RIGHT HEMISPHERE; SENSITIVITY ANALYSIS; VALIDATION PROCESS;

ARTIFICIAL INTELLIGENCE; AUTOMATION; BRAIN; CEREBRAL CORTEX; COMPUTER SIMULATION; DIAGNOSIS, COMPUTER-ASSISTED; DIAGNOSTIC IMAGING; HUMANS; LEARNING; MAGNETIC RESONANCE IMAGING; NEURAL NETWORKS (COMPUTER); SENSITIVITY AND SPECIFICITY; SYSTEMS THEORY;

EID: 0036624332     PISSN: 13618415     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1361-8415(02)00052-X     Document Type: Article

References (43)

1. Bajcsy, R., Broit, C., 1982. Matching of deformed images. In: IEEE Proceedings of the Sixth International Conference on Pattern Recognition, October, pp. 351-353.
2. Cachia, A., Mangin, J.-F., Rivière, D., Boddaert, N., Andrade, A., Kherif, F., Sonigo, P., Papadopoulos-Orfanos, D., Zilbovicius, M., Poline, J.-B., Bloch, I., Brunelle, F., Régis, J., 2001. A mean curvature based primal sketch to study the cortical folding process from antenatal to adult brain. In: Proceedings of MICCAI'01, LNCS, Utrecht. Springer, Berlin, in press.
3. Cachier, P., Mangin, J.F., Pennec, X., Rivière, D., Papadopoulos-Orfanos, D., Régis, J., Ayache, N., 2001. Multipatient registration of brain MRI using intensity and geometric features. In: Proceedings of MICCAI'01, LNCS, Utrecht. Springer, Berlin, in press.
4. Caunce, A., Taylor, C.J., 1999. Using local geometry to build 3D sulcal models. In: Proceedings of IPMI'99, LNCS 1613. Springer, Berlin, pp. 196-209.
5. Chui, H., Rambo, J., Duncan, J., Schultz, R., Rangarajan, A., 1999. Registration of cortical anatomical structures via robust 3D point matching. In: Proceedings of IPMI'99, LNCS 1613. Springer, Berlin, pp. 168-181.
6. Collins, D.L., Le Goualher, G., Evans, A.C., 1998. Non-linear cerebral registration with sulcal constraints. In: Proceedings of MICCAI'98, LNCS 1496, pp. 974-984.
7. Declerck, J., Subsol, G., Thirion, J.-P., Ayache, N., 1995. Automatic retrieval of anatomical structures in 3D medical images. In: Proceedings of CVRMed, LNCS 905, pp. 153-162.
8. Friston, K.J., Ashburner, J., Frith, C.D., Poline, J.B., Heather, J.D., Frackowiak, R.S.J., 1995. Spatial registration and normalization of images. Hum. Brain Mapping 2, 165-189.
9. Geman, S., Geman, D., 1984. Stochastic relaxation, Gibbs distributions, and the bayesian restoration of images. IEEE Proc. Am. Med. Inst. 4 (6), 721-741.
10. Hellier, P., Barillot, C., 2002. Cooperation between local and global approaches to register brain images. In: Proceedings of IPMI'01, University of California, Davis, in press.
11. Le Goualher, G., Barillot, C., Bizais, Y., 1997. Modeling cortical sulci using active ribbons. Int. J. Pattern Recognit. Artific. Intell. 11 (8), 1295-1315.
12. Le Goualher, G., Collins, D.L., Barillot, C., Evans, A.C., 1998. Automatic identification of cortical sulci using a 3D probabilistic atlas. In: Proceedings of MICCAI'98, MIT, LNCS 1496. Springer, Berlin, pp. 509-518.
13. Le Goualher, G., Procyk, E., Collins, D.L., Venugopal, R., Barillot, C., Evans, A.C., 1999. Automated extraction and variability analysis of sulcal neuroanatomy. IEEE Trans. Med. Imaging 18 (3), 206-217.
14. Likar, B., Viergever, M., Pernus, F., 2000. Retrospective correction of MR intensity inhomogeneity by information minimization. In: Proceedings of MICCAI'2000, LNCS 1935. Springer, Berlin, pp. 375-384.
15. Lohmann, G., von Cramon, Y., 1998. Automatic detection and labelling of the human brain cortical folds in MR data sets. In: Proceedings of ECCV, pp. 369-381.
16. Lohmann, G., von Cramon, D.Y., 2000. Automatic labelling of the human cortical surface using sulcal basins. Medical Image Analysis 4 (3), 179-188.
17. Malandain, G., Bertrand, G., Ayache, N., 1993. Topological segmentation of discrete surfaces. Int. J. Comput. Vis. 10 (2), 158-183.
18. Manceaux-Demiau, A., Mangin, J.-F., Regis, J., Pizzato, O., Frouin, V., 1997. Differential features of cortical folds. In: Proceedings of CVRMED/MRCAS, Grenoble, LNCS-1205. Springer, Berlin, pp. 439-448.
19. Mangin, J.-F., 2000. Entropy minimization for automatic correction of intensity nonuniformity. In: Proceedings of MMBIA, South Carolina, pp. 162-169.
20. Mangin, J.-F., Frouin, V., Bloch, I., Regis, J., López-Krahe, J., 1995a. From 3D MR images to structural representations of the cortex topography using topology preserving deformations. J. Math. Imaging Vis. 5 (4), 297-318.
21. Mangin, J.-F., Regis, J., Bloch, I., Frouin, V, Samson, Y., Lopez-Krahe, J., 1995b. A Markovian random field based random graph modelling the human cortical topography. In: Proceedings of CVRMed, Nice, LNCS-905. Springer, Berlin, pp. 177-183.
22. Mangin, J.-F., Régis, J., Frouin, V., 1996. Shape bottlenecks and conservative flow systems. In: Proceedings of MMBIA, San Francisco, pp. 319-328.
23. Mangin, J.-F., Coulon, O., Frouin, V., 1998. Robust brain segmentation using histogram scale-space analysis and mathematical morphology. In: Proceedings of MICCAI'98, MIT, LNCS-1496. Springer, Berlin, pp. 1230-1241.
24. Ono, M., Kubik, S., Abernethey, C.D., 1990. Atlas of the Cerebral Sulci. Thierne, New York.
25. Orr, G., Müller, K.-R., 1998. Neural Networks: Tricks of the Trade. LNCS 1524. Springer, Berlin.
26. Poupon, C., Mangin, J.-F., Clark, C.A., Frouin, V., Régis, J., LeBihan, D., Bloch, I., 2001. Towards inference of human brain connectivity from MR diffusion tensor data. Medical Image Analysis 5, 1-15.
27. Régis, J., Mangin, J.-F., Frouin, V., Sastre, F., Peragut, J.C., Samson, Y., 1995. Generic model for the localization of the cerebral cortex and preoperative multimodal integration in epilepsy surgery. Stereotactic Funct. Neurosurg. 65, 72-80.
28. Rettmann, M.E., Xu, C., Pham, D.L., Prince, J.L., 1999. Automated segmentation of sulcal regions. In: Proceedings of MICCAI'99, Cambridge, UK, LNCS-1679. Springer, Berlin, pp. 158-167.
29. Rivière, D., 2000. Automatic learning of the variability of the patterns of the human cortical folding. PhD thesis (in French), Evry University.
30. Rivière, D., Mangin, J.-F., Martinez, J.-M., Chavand, F., Frouin, V., 1998. Neural network based learning of local compatibilities for segment grouping. In: Proceedings of SSPR'98, LNCS-1451. Springer, Berlin, pp.349-358.
31. Royackkers, N., Desvignes, M., Fawal, H., Renenu, M., 1999. Detection and statistical analysis of human cortical sulci. NeuroImage 10, 625-641.
32. Rumelhart, D.E., Hinton, G.E., Williams, R.J., 1986. Learning Internal Representations By Error Backpropagation. MIT Press, Cambridge, MA, pp. 318-362.
33. Swendsen, R.H., Wang, J.S., 1987. Nonuniversal critical dynamics in Monte Carlo simulations. Phys. Rev. Lett. 58, 86-88.
34. Talairach, J., Tournoux, P., 1988. Co-planar Stereotaxic Atlas of the Human Brain. Thieme, New York.
35. Thompson, P., Toga, A.W., 1996. Detection, visualization and animation of abnormal anatomic structure with a deformable probabilistic brain atlas based on random vector field transformation. Medical Image Analysis 1 (4), 271-294.
36. Thompson, P.M., Woods, R.P., Mega, M.S., Toga, A.W., 2000. Mathematical/computational challenges in creating deformable and probabilistic atlases of the human brain. Hum. Brain Mapping 9, 81-92.
37. Tupin, F., Maitre, H., Mangin, J.-F., Nicolas, J.-M., Pechersky, E., 1998. Linear feature detection on SAR images: application to the road network. IEEE Geosci. Remote Sens. 36 (2), 434-453.
38. Vaillant, M., Davatzikos, C., 1997. Finding parametric representations of the cortical sulci using active contour model. Medical Image Analysis 1 (4), 295-315.
39. Vailland, M., Davatzikos, C., 1999. Hierarchical matching of cortical features for deformable brain image registration. In: Proceedings of IPMI'99, LNCS 1613. Springer, Berlin, pp. 182-195.
40. Watson, J.D.G., Myers, R., Frackowiak, R. et al., 1993. Area V5 of the human cortex: evidence from a combined study using positron emission tomography and magnetic resonance imaging. Cerebral Cortex 3, 79-94.
41. Welker, W., 1989. Why does the cerebral cortex fissure and fold. Cerebral Cortex 8B, 3-135.
42. Wong, A.K.C., You, M.L., 1985. Entropy and distance of random graph with application to structural pattern recognition. IEEE Proc. Am. Med. Inst. 7, 599-609.
43. Zeng, X., Staib, L.H., Schultz, R.T., Tagare, H., Win, L., Duncan, J.S., 1999. A new approach to 3D sulcal ribbon finding from MR images. In: Proceedings of MICCAI'99, Cambridge, UK, LNCS-1679. Springer, Berlin, pp. 148-157.