Segmentation of subcortical brain structures using fuzzy templates

NeuroImage

Volumn 28, Issue 4, 2005, Pages 915-924

  Zhou, Juan ^a   Rajapakse, Jagath C ^a  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

AMYGDALOID NUCLEUS; ARTICLE; BRAIN CORTEX; BRAIN MAPPING; BRAIN TISSUE; CAUDATE NUCLEUS; COMPARATIVE STUDY; HIPPOCAMPUS; HUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; PERFORMANCE; PRIORITY JOURNAL; PUTAMEN; STRUCTURE ANALYSIS; THALAMUS; TRAINING;

ALGORITHMS; ARTIFACTS; ARTIFICIAL INTELLIGENCE; BRAIN; BRAIN MAPPING; FUNCTIONAL LATERALITY; FUZZY LOGIC; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; REPRODUCIBILITY OF RESULTS;

EID: 28244485448     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2005.06.037     Document Type: Article

References (26)

1. L. Amini, H. Soltanian-Zadeh, C. Lucas, and M. Gity Automatic segmentation of thalamus from brain MRI integrating fuzzy clustering and dynamic coutours IEEE Trans. Biomed. Eng. 51 5 2004 800 811
2. J. Ashburner, and K. Friston Multimodal image coregistration and partitioning-A unified framework NeuroImage 6 3 1997 209 217
3. J. Ashburner, and K. Friston Nonlinear spatial normalization using basis functions Hum. Brain Mapp. 7 4 1999 254 266
4. J. Ashburner, and K. Friston Voxel-based morphometry-The methods NeuroImage 11 2000 805 821
5. J. Ashburner, P. Neelin, D.L. Collins, A. Evans, and K. Friston Incorporating prior knowledge into image registration NeuroImage 6 1997 344 352
6. V. Barra, and J. Boire Automatic segmentation of subcortical brain structures in MR images using information fusion IEEE Trans. Med. Imaging 20 7 2001 549 558
7. V. Barra, J. Lemarie, F. Durif, and J. Biore Segmentation of the subthalamic nucleus in MR images using information fusion-A preliminary study for a computed-aided surgery of Parkinson's disease MICCAI 2001 2001 1183 1184
8. B. Fischl, D.H. Salat, E. Busa, M. Albert, M. Dieterich, C. Haselgrove, A. van der Kouwe, R. Killany, D. Kennedy, S. Klaveness, A. Montillo, N. Makris, B. Rosen, and A.M. Dale Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain Neuron 33 2002 341 355
9. K.J. Friston, J. Ashburner, C.D. Frith, J.-B. Poline, J.D. Heather, and R.S.J. Frackowiak Spatial registration and normalization of images Hum. Brain Mapp. 2 1995 165 189
10. Internation Consortium of Brain Mapping (ICBM), 2004. ICBM single subject MRI brain template, http://www.loni.ucla.edu/ICBM/ICBM_BrainTemplate.html.
11. Internet Brain Segmentation Repository (IBSR), the Center for Morphometric Analysis at Massachusetts General Hospital, 2004. MR brain images and their manual segmentations, http://www.cma.mgh.harvard.edu/ibsr/.
12. D.V. Iosifescu, M.E. Shenton, S.K. Warfield, R. Kikinis, J. Dengler, F.A. Jolesz, and R.W. McCharley An automated registration algorithm for measuring MRI subcortical brain structures NeuroImage 6 1997 13 25
13. A. Kelemen, G. Szekely, and G. Gerig Elastic model-based segmentation of 3-D neuoradiological data sets IEEE Trans. Med. Imaging 18 1999 828 839
14. R. Kikinis, M.E. Shenton, D.V. Iosifescu, R.W. McCarley, P. Saiviroonporn, H.H. Hokama, A. Robatino, D. Metcalf, C.G. Wible, C.M. Portas, R.M. Donnino, and F.A. Jolesc A digital brain atlas for surgical planning, model driven segmentation, and teaching IEEE Visual. Comput. Graph. 2 3 1996 232 241
15. V.A. Magnotta, D. Heckel, A.C. Andreasen, T. Cizaldo, P.W. Corson, J.C. Echrhardt, and W.T. Yuh Measurement of brain structures with artificial neural networks: two- and three-dimensional applications Radiology 211 1999 781 790
16. J.F. Mangin, F. Poupon, E. Duchesnay, D. Riviere, A. Cachia, D.L. Collins, A.C. Evans, and J. Regis Brain morphometry using 3 D moment invariants Med. Image Anal. 8 2004 187 196
17. D.L. Pham, C. Xu, Xu, and J.L. Prince Current methods in medical image segmentation Annu. Rev. Biomed. Eng. 2 2000 315 338
18. A. Pitiot, H. Delingette, P.M. Thompson, and N. Ayache Expert knowledge-guided segmentation system for brain MRI NeuroImage 23 2004 S85 S96
19. J.C. Rajapakse, and F. Kruggel Segmentation of MR images with intensity inhomogeneities Image Vision Comput. 16 1998 165 180
20. J.C. Rajapakse, C. DeCarli, A. McLaughlin, J.N. Giedd, A.L. Krain, S.D. Hamburger, and J.L. Rapoport Cerebral magnetic resonance image segmentation using data fusion J. Comput. Assist. Tomogr. 20 2 1996 206 218
21. J.C. Rajapakse, J.N. Giedd, and J.L. Rapoport Statistical approach to segmentation of single-channel cerebral MR images IEEE Trans. Med. Imaging 16 2 1997 176 186
22. M. Sonka, and J.M. Fitzpatrick Handbook of medical imaging Med. Image Process. Anal. vols. 1 and 2 2000 SPIE Press 69 211
23. M. Sonka, S.K. Tadikonda, and S.M. Collins Knowledge-based interpretation of MR brain images IEEE Trans. Med. Imaging 15 4 1996 443 452
24. A.J. Worth, N. Makris, M.R. Patti, J.M. Goodman, E.A. Hoge, V.S. Caviness, and D.N. Kennedy Precise segmentation of the lateral ventricles and caudate nucleus in MR brain images using anatomically driven histograms IEEE Trans. Med. Imaging 17 2 1998 303 309
25. J. Xue, S. Ruan, and B. Moretti Fuzzy modeling of knowledge for MRI brain structure segmentation ICIP00 I 2000 617 620
26. C.J. Yang, H.D. Tagare, L.H. Staib, and J.S. Duncan Segmentation of 3 D deformable objects with level set based prior models Proc. IEEE International Conference of Biomedical 2004 85 88