A hybrid tissue segmentation approach for brain MR images

Medical and Biological Engineering and Computing

Volumn 44, Issue 3, 2006, Pages 242-249

  Song, Tao ^a   Gasparovic, Charles ^b   Andreasen, Nancy ^b   Bockholt, Jeremy ^b   Jamshidi, Mo ^c   Lee, Roland R ^a   Huang, Mingxiong ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b MIND RESEARCH NETWORK   (United States)

^c University of New Mexico   (United States)

Author keywords

EM; MRI; SOM; Tissue segmentation; Weighted PNN

Indexed keywords

ALGORITHMS; BRAIN MODELS; ESTIMATION; IMAGE SEGMENTATION; MAGNETIC RESONANCE IMAGING; NEURAL NETWORKS; PROBABILITY DENSITY FUNCTION; TISSUE; VECTORS;

PROBABILISTIC NEURAL NETWORK (PNN); TISSUE SEGMENTATION;

MEDICAL IMAGING;

ALGORITHM; ARTICLE; BAYES THEOREM; BRAIN MAPPING; BRAIN SCINTISCANNING; DENSITY FUNCTIONAL THEORY; IMAGE PROCESSING; NERVE CELL NETWORK; NORMAL DISTRIBUTION; NUCLEAR MAGNETIC RESONANCE IMAGING; PROBABILITY; SIMULATION;

ALGORITHMS; BRAIN; COMPUTER SIMULATION; HUMANS; IMAGE ENHANCEMENT; MAGNETIC RESONANCE IMAGING; MODELS, NEUROLOGICAL; NEURAL NETWORKS (COMPUTER); PROBABILITY;

EID: 33745467725     PISSN: 01400118     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11517-005-0021-1     Document Type: Article

References (28)

1. Alfano B, Brunetti A (1997) Unsupervised automated segmentation of the normal brain using a multispectral relaxometric magnetic resonance approach. Magn Reson Med 37(1):84-93
2. Bezdek JC, Hall LO, Clark LP (1993) Review of MR image segmentation techniques using pattern recognition. Med Phys 20(4):1033-1048
3. Bishop CM (1995) Neural networks for pattern recognition. Clarendon Press, Oxford
4. Clarke LP, Hall LO (1995) MRI segmentation: Methods and applications. Magn Reson Imag 13(3):343-368
5. Cohen G, Andreasen NC, Alliger R, Arndt S, Kuan J, Ehrhardt J (1992) Segmentation techniques for the classification of brain tissue using magnetic resonance imaging. Psychiatry Res 45(1):33-51
6. Dawant B, Hartmann S (1999) Automatic 3-D segmentation of internal structures of the head in MR images using a combination of similarity and free-form transformations: Part i, methodology and validation on normal subjects. IEEE Trans Med Imaging 18(10):909-916
7. Dempter AP, Laird NM (1977) Maximum likelihood from Incomplete data via the EM Algorithm. J Roy Statist Soc 39(1):1-38
8. Florack LMJ (1992) Scale and the differential structure of images. Image and Vision Computing, pp 376-388
9. Gllenbe E, Feng Y (1996) Neural network methods for volumetric magnetic resonance imaging of the human brain. Proc IEEE 84(10):1488-1496
10. Hall LO, Bezdek JC (1992) A comparison of neural network and fuzzy clustering techniques in segmenting magnetic resonance images of the brain. IEEE Trans Neural Netw 3(5):672-681
11. Haralick RM, Shapiro LG (1985) Image segmentation techniques. Comput Vis Graph Im Proc 29:100-132
12. Harring S, Viergever MA (1993) A multiscale approach to image segmentation using Kohonen networks. Tech. Report RUU-CS-93-06, Utrecht University, the Nethlands
13. Harris G, Andreasen NC, Cizadlo T, Bailey JM, Bockholt HJ, Magnotta VA, Arndt S (1999) Improving tissue classification in MRI: A three-dimensional multispectral discriminant analysis method with automated training class selection. J Comput Assist Tomogr 23(1):144-154
14. Kohonen T (2000) Self-organizing maps, 3rd edn. Springer, Berlin New York Heidelberg
15. Kwan RKS, Evans AC, Pike GB (1999) MRI simulation-based evaluation of image-processing and classification methods. IEEE Trans Med Imaging 18(11):1085-1097. http://www.bic.mni.mcgill.ca/brainweb/
16. Leemput KV, Maes F, Vandermeulen D, Suetens P (1999) Automated model-based bias field correction of MR images of the brain. IEEE Trans Med Imaging 18(10):885-896
17. Magnotta V, Bockholt HJ (2003) Subcortical, cerebellar, and magnetic resonance based consistent brain image registration. Neuroimage 19(2 Pt 1):233-245
18. Mallat SG, Zhong S (1992) Characterization of signals from multi-scale edges. IEEE Trans Pattern Anal Mach Intell 14(7):710-723
19. Masters T (1995) Advanced algorithms for neural networks: A C++ sourcebook. Wiley, New York
20. Mechelli A, Price CJ, Friston KJ, and Ashburner J (2005) Voxel-based morphometry of the human brain: Methods and applications. Current Medical Imaging Reviews, pp 105-113. http://www.fil.ion.ucl.ac.uk/spm/
21. Ranganath S (1995) Contour extraction from cardiac MRI studies using snakes. IEEE Trans Med Imaging 14(2):328-338
22. Shattuck D, Sandor-Leahy S (2001) Magnetic resonance image tissue classification using a partial volume model. NeuroImage 13(5):856-876
23. Smith SM, Jenkinson M, Woolrich MW, Beckmann CF, Matthews PM (2004) Advances in functional and structural MR image analysis and implementation as FSL. NeuroImage 23(S1):208-219. http://www.fmrib.ox.ac.uk/fsl/
24. Suzuki H, Toriwaki J (1991) Automatic segmentation of head MRI images by knowledge guided thresholding. Comput Med Imag Graph 15(4):233-240
25. Theodoridis S, Koutroumbas K (1999) Pattern recognition. Academic Press, New York
26. Wells WM, Grimson WEL (1996) Adaptive segmentation of MRI data, IEEE Trans Med Imag 15:429-442
27. Zhang Y, Brady M (2001) Segmentation of brain MR images through a hidden Markov random field model and the expectation maximization algorithm. IEEE Trans Med Imaging 20(1):45-57
28. Zijdenobos AP, Dawant BM (1994) Brain segmentation and white matter lesion detection in MR images. Crit Rev Biomed Eng 22(5-6):401-465