Probabilistic brain lesion segmentation in DT-MRI

Proceedings - International Conference on Image Processing, ICIP

Volumn , Issue , 2006, Pages 89-92

  Agam, Gady ^a   Weiss, Daniel ^a   Soman, Mandar ^a   Arfanakis, Konstantinos ^b  

^a Illinois Institute of Technology   (United States)

^b Illinois Institute of Technology   (United States)

Author keywords

Biomedical imaging; Image segmentation; Image shape analysis; Magnetic resonance imaging; Object detection; Stochastic approximation

Indexed keywords

BIOMEDICAL IMAGING; BRAIN LESIONS; BRAIN SCAN; CAUCHY DISTRIBUTION; CHRONIC STROKE; CLINICAL DATA; CONTROL SET; DATA LOG; DIFFUSION TENSOR; EFFICIENT COMPUTATION; EXPECTATION MAXIMIZATION; FEATURE VECTORS; IMAGE SHAPE ANALYSIS; LESION QUANTIFICATION; MEDICAL CONDITIONS; MIXTURE COMPONENTS; MODEL PARAMETERS; MRI SCAN; MULTIPLE MODALITIES; NOVEL TECHNIQUES; OBJECT DETECTION; PARAMETRIC PROBABILISTIC MODEL; STOCHASTIC APPROXIMATIONS;

APPROXIMATION THEORY; IMAGING SYSTEMS; MAGNETIC RESONANCE IMAGING; MEDICAL IMAGING; OBJECT RECOGNITION; OPTIMIZATION; RESONANCE; STOCHASTIC SYSTEMS; TENSORS;

IMAGE SEGMENTATION;

EID: 78649891292     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2006.312369     Document Type: Conference Paper

References (10)

1. J. Grimaud, M. Lai, J. Thorpe, P. Adeleine, L. Wang, G. Barker, D. Plummer, P.S. Tofts, W.I. McDonald, and D.H. Miller, "Quantification of MRI lesion load in multiple sclerosis: a comparison of three computer-assisted techniques," Magn. Reson. Imaging, vol. 14, pp. 495- 505, 1996.
2. Van Leemput K., Maes F., Vandermeulen D., Colchester A., and Suetens P., "Automated segmentation of multiple sclerosis lesions by model outlier detection," IEEE Trans. Medical Imaging, vol. 20, no. 8, pp. 677-688, 2001. (Pubitemid 32813541)
3. F. Kruggel, C. Chalopin, X. Descombes, V. Kovalev, and J.C. Rajapakse, "Segmentation of pathological features in MRI brain datasets," in Proc. Neural Information Processing, 2002, vol. 5, pp. 2673-2677.
4. S. A. Hojjatoleslami and F. Kruggel, "Segmentation of large brain lesions," IEEE Trans. Medical Imaging, vol. 20, pp. 666-669, 2001.
5. A. Achirona, S. Gicquela, S. Mirona, and M. Faibelb, "Brain mri lesion load quantification in multiple sclerosis: A comparison between automated multispectral and semi-automated thresholding computer-assisted techniques," Magnetic Resonance Imaging, vol. 20, pp. 713-720, 2002.
6. Anbeek P., Vincken K.L., van Osch M.J., Bisschops R.H., and van der Grond J., "Probabilistic segmentation of white matter lesions in MR imaging," Neuroimage, vol. 21, no. 3, pp. 1037-1044, 2004. (Pubitemid 38314966)
7. Y. Songyang, D.L. Pham, S. Dinggang, E.H. Herskovits, S.M. Resnick, and C. Davatzikos, "Automatic segmentation of white matter lesions in T1-weighted brain MR images automatic segmentation of white matter lesions in T1-weighted brain MR images," in Proc. IEEE Intl. Symp. Biomedical Imaging, 2002, pp. 253-256.
8. M. Ganna, M. Rombaut, R. Goutte, and Y.M. Zhu, "Improvement of brain lesion detection using information fusion approach," in Proc. Intl. Conf: Signal Processing, 2002, vol. 2, pp. 1104-1107.
9. C. Fraley and A. E. Raftery, "Model-based clustering, discriminant analysis, and density estimation," Journal of the American Statistical Association, vol. 97, pp. 611-631, 2002.
10. S.M. Smith, "Fast robust automated brain extraction," Human Brain Mapping, vol. 17, no. 3, pp. 143-155, 2002.