Segmentation of corpus callosum using diffusion tensor imaging: Validation in patients with glioblastoma

BMC Medical Imaging

Volumn 12, Issue , 2012, Pages

  Nazem Zadeh, Mohammad Reza ^a,b,c   Saksena, Sona ^d   Babajani Fermi, Abbas ^d,e   Jiang, Quan ^c   Soltanian Zadeh, Hamid ^a,d,f   Rosenblum, Mark ^e   Mikkelsen, Tom ^d   Jain, Rajan ^d  

^a UNIVERSITY OF TEHRAN   (Iran)

^b UNIVERSITY OF MICHIGAN   (United States)

^c HENRY FORD HOSPITAL   (United States)

^d HENRY FORD HEALTH SYSTEM   (United States)

^e WASHINGTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

^f WAYNE STATE UNIVERSITY   (United States)

Author keywords

Corpus callosum; Diffusion tensor imaging; Fiber bundle segmentation; Glioblastoma; Level set

Indexed keywords

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; BRAIN TUMOR; COMPUTER ASSISTED DIAGNOSIS; CORPUS CALLOSUM; DIFFUSION WEIGHTED IMAGING; FEMALE; GLIOBLASTOMA; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; MALE; METHODOLOGY; MIDDLE AGED; PATHOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; VALIDATION STUDY;

ALGORITHMS; BRAIN NEOPLASMS; CORPUS CALLOSUM; DIFFUSION MAGNETIC RESONANCE IMAGING; FEMALE; GLIOBLASTOMA; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MALE; MIDDLE AGED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 84860990696     PISSN: None     EISSN: 14712342     Source Type: Journal    
DOI: 10.1186/1471-2342-12-10     Document Type: Article

References (45)

1. de Lacoste MC, Kirkpatrick JB, Ross ED. Topography of the human corpus callosum. J Neuropathol Exp Neurol 1985, 44:578-591. 10.1097/00005072-198511000-00004, 4056827.
2. Clarke S, Miklossy J. Occipital cortex in man: organization of callosal connections, related myelo- and cytoarchitecture, and putative boundaries of functional visual areas. J Comp Neurol 1990, 298:188-214. 10.1002/cne.902980205, 2212102.
3. Dorion A, Chantôme M, Hasboun D, et al. Hemispheric asymmetry and corpus callosum morphometry: a magnetic resonance imaging study. Neuroscience Research 2000, 36:9-13. 10.1016/S0168-0102(99)00102-9, 10678527.
4. Hasan K, Gupta R, Santos R, Wolinsky J, Narayana P. Diffusion tensor fractional anisotropy of the normal-appearing seven segments of the corpus callosum in healthy adults and relapsing-remitting multiple sclerosis patients. Journal of Magnetic Resonance Imaging 2005, 21:735-743. 10.1002/jmri.20296, 15906348.
5. Gupta R, Saksena S, Hasan K, et al. Focal Wallerian degeneration of the corpus callosum in large middle cerebral artery stroke: serial diffusion tensor imaging. Journal of Magnetic Resonance Imaging 2006, 24:549-555.
6. Kubicki M, Styner M, Bouix S, et al. Reduced interhemispheric connectivity in schizophrenia-tractography based segmentation of the corpus callosum. Schizophrenia research 2008, 106:125-131. 10.1016/j.schres.2008.08.027, 2630535, 18829262.
7. Rosas HD, Lee SY, Bender AC, Zaleta AK, Vangel M, Yu P, Fischl B, Pappu V, Onorato C, Cha JH, Salat DH, Hersch SM. Altered white matter microstructure in the corpus callosum in Huntington's disease: Implications for cortical. Neuroimage 2010, 49:2995-3004. 10.1016/j.neuroimage.2009.10.015, 19850138.
8. Lundervold A, Duta N. Taxt T. Jain A: Model-guided segmentation of corpus callosum in MR images. Citeseer 1999, 231-237.
9. Lee C, Huh S, Ketter T, Unser M. Automated segmentation of the corpus callosum in midsagittal brain magnetic resonance images. Optical Engineering 2000, 39:924-935.
10. Brejl M, Sonka M. Object localization and border detection criteria design in edge-based image segmentation: automated learning from examples. IEEE Transactions on Medical Imaging 2000, 19:973-985. 10.1109/42.887613, 11131495.
11. Basser P, Mattiello J, Le Bihan D. MR diffusion tensor spectroscopy and imaging. Biophys 1994, 66:259-267.
12. Basser P, Mattiello J, Le Bihan D. Estimation of the effective self-diffusion tensor from the NMR spin echo. J Magn Reson 1994, 103:247-254.
13. Brun A, Knutsson H, Park H, Shenton M, Westin C. Clustering fiber traces using normalized cuts. MICCAI LNCS 2004, 3216:368-375.
14. Maddah M, Grimson W, Warfield S, Wells W. A unified framework for clustering quantitative analysis of white matter fiber tracts. Med Imag Analysis 2008, 12:191-202.
15. Xu Q, Anderson A, Gore J, Ding Z. Unified Bundling and Registration of Brain White Matter Fibers. IEEE Transactions on Medical Imaging 2009, 28(9):1399-1411. 3059198, 19336300.
16. Voineskos A, Rajji T, Lobaugh N, et al. Age-related decline in white matter tract integrity and cognitive performance: A DTI tractography and structural equation modeling study. Neurobiology of Aging 2010, doi:10.1016/j.neurobiolaging.2010.02.009.
17. Wassermann D, Bloy L, Kanterakis E, Verma R, Deriche R. Unsupervised white matter fiber clustering and tract probability map generation: Applications of a Gaussian process framework for white matter fibers. Neuroimage 2010, 51(1):228-241. 10.1016/j.neuroimage.2010.01.004, 2847030, 20079439.
18. Li H, Xue Z, Guo L, Liu T, Hunter J, Wong S. A hybrid approach to automatic clustering of white matter fibers. Neuroimage 2010, 49:1249-1258. 10.1016/j.neuroimage.2009.08.017, 19683061.
19. Eckstein I, Shattuck D, Stein J, et al. Active fibers: Matching deformable tract templates to diffusion tensor images. Neuroimage 2009, 47:82-89.
20. Zhukov L, Museth K, Breen D, Whitaker R, Barr A. Level set modeling and segmentation of DT-MRI brain data. J Electron Imag 2003, 12:125-133.
21. Vemuri B, Chen Y, McGraw T, Wang Z, Mareci T. Fiber tract mapping from diffusion tensor MRI. Proc IEEE Workshop on Variational and Level Set Methods in Computer Vision 2001, 81-88.
22. Wang Z, Vemuri B. Tensor field segmentation using region based active contour model. ECCV LNCS 2004, 3024:304-315.
23. Rousson M, Lenglet C, Deriche R. Level set and region based surface propagation for diffusion tensor MRI segmentation. Computer vision and mathematical methods in medical and biomedical image analysis 2004, 123-134.
24. Feddern C, Weickert J, Burgeth B. Level set methods for tensor valued images 2003, 65-72. Geometric and Level Set Methods in Computer Vision: In Proceedings of the Second IEEE Workshop on Variational.
25. Jonasson L, Bresson X, Hagmann P, Cuisenaire O, Meuli R, Thiran J. White matter fiber tract segmentation in DT-MRI using geometric flows. Med Imag Analysis 2005, 3:223-236.
26. Jonasson L, Hagmann P, Pollo C, Bresson X, Wilson C, Meuli R, Thiran J. A level set method for segmentation of the thalamus and its nuclei in DT-MRI. Signal Processing 2007, 87:309-321.
27. Lenglet C, Rousson M, Deriche R. A statistical framework for DTI segmentation. IEEE Trans Med Imag 2006, 25:675-700.
28. Arsigny V, Fillard P, Pennec X, Ayache N. Log-Euclidean metrics for fast and simple calculus on diffusion tensors. Magnetic Resonance in Medicine 2006, 56:411-421. 10.1002/mrm.20965, 16788917.
29. Weldeselassie Y, Hamarneh G. DT-MRI segmentation using graph cuts. Citeseer: 65121 K-65121
30. Awate S, Hui Z, Gee J. A fuzzy, nonparametric segmentation framework for DTI and MRI analysis: With applications to DTI-tract extraction. IEEE Transactions on Medical Imaging 2007, 26:1525-1536.
31. Hasan K, Ewing-Cobbs L, Kramer L, Fletcher J, Narayana P. Diffusion tensor quantification of the macrostructure and microstructure of human midsagittal corpus callosum across the lifespan. NMR in Biomedicine 2008, 21:1094-1101. 10.1002/nbm.1286, 3046022, 18615857.
32. Jonasson L, Bresson X, Thiran J, Wedeen V, Hagmann P. Representing diffusion MRI in 5-D simplifies regularization and segmentation of white matter tracts. IEEE Trans On Med Imaging 2007, 26:1547-1554.
33. Nazem-Zadeh M, Davoodi-Bojd E, Soltanian-Zadeh H. Level set fiber bundle segmentation using spherical harmonic coefficients. Computerized Medical Imaging and Graphics 2010, 34:192-202. 10.1016/j.compmedimag.2009.09.003, 19846274.
34. Nazem-Zadeh M, Davoodi-Bojd E, Soltanian-Zadeh H. Atlas-Based Fiber Bundle Segmentation Using Principal Diffusion Directions and Spherical Harmonic Coefficients. NeuroImage 2011, 54:246-164. Supplement 1.
35. Descoteaux M, Deriche R. High angular resolution diffusion MRI segmentation using region-based statistical surface evolution. Journal of Mathematical Imaging and Vision 2008, 33(2):239-252.
36. Hagmann P, Jonasson L, Deffieux T, Meuli R, Thiran J, Wedeen V. Fibertract segmentation in position orientation space from high angular resolution diffusion MRI. Neuroimage 2006, 32:665-675. 10.1016/j.neuroimage.2006.02.043, 16815713.
37. McGraw T, Vemuri B, Yezierski R, Mareci T. Segmentation of High Angular Resolution Diffusion MRI modeled as a field of von mises-fisher mixtures. Proc European Conf on Computer Vision 2006, 463-475.
38. Hess C, Mukherjee P, Han E, Xu D, Vigneron D. Q-ball reconstruction of multimodal fiber orientations using the spherical harmonic basis. Magn Reson Med 2006, 56:104-117. 10.1002/mrm.20931, 16755539.
39. Witelson S. Hand and sex differences in the isthmus and genu of the human corpus callosum: a postmortem morphological study. Brain 1989, 112:799. 10.1093/brain/112.3.799, 2731030.
40. Lee S, Cheng J, Chen C, Tseng W. An automatic segmentation approach for boundary delineation of corpus callosum based on cell competition. Proc Engineering in Medicine and Biology Society Conf of the IEEE 2008, 5514-5517.
41. Osher S, Sethian J. Fronts propagating with curvature dependent speed: algorithms based on Hamilton-Jacobi formulations. J Comput Phys 1988, 79:12-49.
42. Osher S, Paragios N. Chapter: Level set methods. Geometric level set methods in imaging, vision, and graphics. Springer-Verlag New York Inc 2003, 3-20.
43. Dice LR. Measures of the amount of ecologic association between species. Ecology 1945, 26:297-302.
44. Wakana S, Caprihan A, Panzenboeck M, et al. Reproducibility of quantitative tractography methods applied to cerebral white matter. Neuroimage 2007, 36:630-644. 10.1016/j.neuroimage.2007.02.049, 2350213, 17481925.
45. Zacharaki E, Hogea C, Shen D, Biros G, Davatzikos C. Non-diffeomorphic registration of brain tumor images by simulating tissue loss and tumor growth. Neuroimage 2009, 46:762-774. 10.1016/j.neuroimage.2009.01.051, 2929986, 19408350.