Comparison of 10 brain tissue segmentation methods using revisited IBSR annotations

Journal of Magnetic Resonance Imaging

Volumn 41, Issue 1, 2015, Pages 93-101

  Valverde, Sergi ^a   Oliver, Arnau ^a   Cabezas, Mariano ^a   Roura, Eloy ^a   Lladó, Xavier ^a  

^a UNIVERSITY OF GIRONA   (Spain)

Author keywords

Brain MRI; IBSR; Permutation tests; Tissue segmentation

Indexed keywords

ALGORITHM; ARTICLE; BRAIN TISSUE; DATA ANALYSIS SOFTWARE; DATA BASE; GRAY MATTER; HUMAN; HUMAN TISSUE; IMAGE PROCESSING; IMAGE QUALITY; INTERNET BRAIN SEGMENTATION REPOSITORY; NEUROIMAGING; NORMAL HUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; WHITE MATTER; ANATOMY AND HISTOLOGY; AUTOMATED PATTERN RECOGNITION; BRAIN; BRAIN MAPPING; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; INFORMATION PROCESSING; PROCEDURES; REPRODUCIBILITY; STATISTICS AND NUMERICAL DATA;

ALGORITHMS; BRAIN; BRAIN MAPPING; DATASETS AS TOPIC; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS;

EID: 84919394839     PISSN: 10531807     EISSN: 15222586     Source Type: Journal    
DOI: 10.1002/jmri.24517     Document Type: Article

References (33)

1. Cocosco CA, Kollokian V, Kwan RKS, Pike GB, Evans AC. Brainweb: online interface to a 3D MRI simulated brain database. Neuroimage 1997;5:425.
2. Awate SP, Tasdizen T, Foster N, Whitaker RT. Adaptive markov modeling for mutual-information-based, unsupervised MRI braintissue classification. Med Image Anal 2006;10:726-739.
3. Akselrod-Ballin A, Galun M, Gomori M, Basri R, Brandt A. Atlas guided identification of brain structures by combining 3D segmentation and SVM classification. In: Proceedings of the 9th International Conference on Medical Image Computing and Computer-Assisted Intervention 2006;4191:209-216.
4. Caldairou B, Rousseau F, Passat N, Habas P, Studholme C, Heinrich C. A non-local fuzzy segmentation method: Application to brain MRI. Comput Anal Images Patterns 2009;5702:606-613.
5. Wels M, Zheng Y, Huber M, Hornegger J, Comaniciu D. A discriminative model-constrained EM approach to 3D MRI brain tissue classification and intensity non-uniformity correction. Phys Med Biol 2011;56:3269.
6. Tsang O, Gholipou A, Kehtarnavaz N, Gopinath K, Briggs R, Panahi I. Comparison of tissue segmentation algorithms in neuroimage analysis software tools. In: Proceedings of the 30th International Conference of the IEEE in Engineering in Medicine and Biology Society 2008;3924-3928.
7. Kasiri K, Kazemi K, Dehghani M, Helfroush M. Atlas-based segmentation of brain MR images using least square support vector machines. In: Proceedings of the 2nd International Conference on Image Processing Theory Tools and Applications 2010;306-310.
8. Tohka J, Dinov ID, Shattuck DW, Toga AW. Brain MRI tissue classification based on local markov random fields. Magn Reson Imaging 2010;28:557-573.
9. Tian G, Xia Y, Zhang Y, Feng D. Hybrid genetic and variational expectation-maximization algorithm for gaussian-mixture-modelbased brain MR image segmentation. IEEE Transactions on Information Technol Biomed 2011;15:373-380.
10. Bazin PL, Pham D. Topology-preserving tissue classification of magnetic resonance brain images. IEEE Trans Med Imaging 2007;26:487-496.
11. Shiee N, Bazin PL, Ozturk A, Reich DS, Calabresi PA, Pham DL. A topology-preserving approach to the segmentation of brain images with multiple sclerosis lesions. Neuroimage 2010;49: 1524-1535.
12. Roy S, Carass A, Bazin PL, Resnick S, Prince JL. Consistent segmentation using a rician classifier. Med Image Anal 2012;16:524-535.
13. Ortiz AR, Gorriz JM, Ramirez J, Salas-Gonzalez D, Llamas-Elvira JM. Two fully-unsupervised methods for MR brain image segmentation using som-based strategies. Appl Soft Comput 2013;13: 2668-2682.
14. Filipek PA, Richelme C, Kennedy DN, Caviness VS. The young adult human brain: an MRI-based morphometric analysis. Cereb Cortex 1994;4:344-360.
15. Sled JG, Zijdenbos AP, Evans CP. A nonparametric method for automatic correction of intensity nonuniformity in MRI data. IEEE Trans Med Imaging 1998;17:87-97.
16. Zhang Y, Brady M, Smith S. Segmentation of brain MR images through a hidden markov random field model and the expectation-maximization algorithm. IEEE Trans Med Imaging 2001;20:45-57.
17. Shattuck DW, Sandor-Leahy DR, Schaper K, Rottenberg DA, Leahy RM. Magnetic resonance image tissue classification using a partial volume model. Neuroimage 2001;13:856-876.
18. Ashburner J, Friston KJ. Unified segmentation. Neuroimage 2005;26:839-851.
19. Ashburner J, Barnes G, Chen CC, et al. SPM8 Manual. Wellcome Trust Centre for Neuroimaging Institute of Neurology, UCL 2011.
20. Tohka J, Krestyannikov E, Dinov ID, et al. Genetic algorithms for finite mixture model based voxel classification in neuroimaging. IEEE Trans Med Imaging 2007;26:696-711.
21. Pham DL. Spatial models for fuzzy clustering. Computer Vision and Image Understanding 2001;84:285-297.
22. Pham DL. Robust fuzzy segmentation of magnetic resonance images. In: Proceedings of the 14th IEEE Symposium on Computer-Based Medical Systems, Bethesda, Maryland, 2001. p 127-131.
23. Tian D, Fan L. A brain MR images segmentation method based on SOM neural network. Bioinform Biomed Eng 2007;2:686-689.
24. De Boer R, Vrooman HA, Van Der Lijn F, et al. White matter lesion extension to automatic brain tissue segmentation on MRI. Neuroimage 2009;45:1151-1161.
25. Dice LR. Measures of the amount of ecologic association between species. Ecology 1945;26:297-302.
26. Anbeek P, Vincken KL, Van Osch M, Bisschops R, Van der Grond J. Probabilistic segmentation of white matter lesions in MR imaging. Neuroimage 2004;21:1037-1044.
27. Vrooman HA, Cocosco CA, van der Lijn F, et al. Multi-spectral brain tissue segmentation using automatically trained k-Nearest- Neighbor classification. Neuroimage 2007;37:71-81.
28. Zijdenbos AP, Dawant BM, Margolin RA, Palmer AC. Morphometric analysis of white matter lesions in MR images: method and validation. IEEE Trans Med Imaging 1994;13:716-724.
29. Menke J, Martinez TR. Using permutations instead of student's tdistribution for p-values in paired-difference algorithm comparisons. Proceedings of the IEEE Joint Conference on Neural Networks, Budapest, 2004. p 1331-1335.
30. Klein A, Andersson A, Ardekani BA, et al. Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration. Neuroimage 2009;46:786-802.
31. Shahvaran Z, Kazemi K, Helfroush HS, Jafarian N, Noorizadeh N. Variational level set combined with markov random field modeling for simultaneous intensity non-uniformity correction and segmentation of MR images. J Neurosci Methods 2012; 209:280-289.
32. Zhang T, Xia Y, Feng D. Clonal selection algorithm for gaussian mixture model based segmentation of 3D brain MR images. In: Proceedings of the Second Sino-foreign-interchange Conference on Intelligent Science and Intelligent Data Engineering, Xi'an, China, 2011. p 295-302.
33. Nguyen TM, Wu QM. Robust student's-t mixture model with spatial constraints and its application in medical image segmentation. IEEE Trans Med Imaging 2012;31:103-116.