Segmentation of MR images using independent component analysis

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4252 LNAI - II, Issue , 2006, Pages 63-69

  Chen, Yen Wei ^a,b   Sugiki, Daigo ^a  

^a CENTRAL SOUTH UNIVERSITY OF FORESTRY AND TECHNOLOGY   (China)

^b RITSUMEIKAN UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL COMPLEXITY; FEATURE EXTRACTION; INDEPENDENT COMPONENT ANALYSIS; MAGNETIC RESONANCE IMAGING;

AUTOMATED SEGMENTATION; CONTRAST-ENHANCED IMAGES; LOCAL FEATURES;

IMAGE SEGMENTATION;

EID: 33750694207     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11893004_8     Document Type: Conference Paper

References (13)

1. Bezdek, L.C., Hall, L.O., Clarke, L.P.:Review of MR image segmentation techiniques using pattern recognition, Medical Physics, 20(1993)1033-1048.
2. Cohen, L.: On active contour models and ballons, Computer vision, Graphics and Image Processing: Image Understanding. 53(1991)211-218.
3. Hohne, K., Hanson, W.: Interactive 3d segmentation of MRI and CT volumes using morphological operations. Journal of Computer Assisted Tomography, 16(1992) 285-294.
4. Cline, H.E., Lorensen, W.E., Kikinis, R., Jolesz, F.A.: Three-dimensional segmentation of MR images of the head using probability and connectivity, Journal of Computer Assisted Tomography, 14(1990) 1037-1045.
5. Warfield, S.K., Kaus, M., Jolesz., F.A., Kikinis, R.: Adaptive, template moderated, spatially varying statistical classification, 4(2000)43-55.
6. Gerig, G., Kubler, O., Kikinis, R., Jolesz, F.A.: Nonlinear anisotropic filtering of MRI data, IEEE Transactions on Medical Imaging, 11(1992)221-232.
7. Mohamed, N.A., Aly, A.F.: Volume segmentation of CT/MRI images using multiscale features, self-organizing principal component analysis, and self-organizing feature map, Proc. of Int. Conf. on Artificial Neural Networks, Houston, (1997).
8. Clark, M., Hull, L., Goldgof, D., Clarke, L., Silbiger, L.: MRI segmentation using fuzzy clustering techniqes:Integrating knowledge, IEEE Eng. Med. & Biol. Mag., 13(1994)730-742.
9. Atkins, M.S., Mackiewich, M.T.: Fully automatic segmentation of the brain in MRI, IEEE Trans. Med. Imagin, 17(1998)98-107.
10. Nakai, T., Muraki, S., Bagarinao, E., Miki, Y., Takehara, Y., Matsuo, K., Kato, C., Sakahara, H., Isoda, H.: Application of independent component analysis to magnetic resonance imaging for enhancing the contrast of gray and white matter. NeuroImage, 21(2004) 251-260.
11. Bell, A. J., Sejnowski, T. J.: An information-maximization approach to blind separation and blind deconvolution. Neural Computation, 7(1995)1129-1159.
12. Chen, Y.-W.: Independent Component Analysis (1) -Cocktail Party Effect-. Medical Imaging Technology. 21(2003) 81-85. (in Japanese)
13. Duda, R., Hart, P.: Pattern Classification and Scene Analysis, Join Wiley and Sons, Inc., (1973).