Asha and Keshav Bhide Chair Professor
Computer Science and Engineering Department, Indian Institute of Technology (IIT) Bombay
Office: A-214, Kanwal Rekhi Building
Email: my-first-name @cse.iitb.ac.in
|
|
Suyash P.
Awate Asha and Keshav Bhide Chair Professor Computer Science and Engineering Department, Indian Institute of Technology (IIT) Bombay Office: A-214, Kanwal Rekhi Building Email: my-first-name @cse.iitb.ac.in |
| Research | Publications | Teaching | Students | CV | Personal |
| Brain Tissue Segmentation via MRI |
| Suyash P. Awate, Tolga Tasdizen, Normal Foster,
Ross T. Whitaker Adaptive Markov modeling for mutual-information-based, unsupervised MRI brain-tissue classification Medical Image Analysis 2006, 10(5):726-39 Challenges 1) noise 2) oversmoothing in cortex 3) field inhomogeneity 4) partial-volume effects Our Approach 1) Markov random field model on data; inferred nonparametrically 2) avoid explicit label regularization 3) spatially-adaptive tissue modeling 4) nonparametric modeling Results Handling noise  solid line = our method Handling bias / inhomogeneity / nonuniformity  Validation for segmenting tissues  Validation for delineating the inner cortical-surface  |
| Related Works |
| Brain MRI tissue classification based on local
Markov random fields J Tohka, ID Dinov, DW Shattuck, AW Toga Magnetic resonance imaging 2010 M. Yan and J. Karp An adaptive Bayesian approach to three-dimensional MR brain segmentation In Proc. Information Processing in Medical Imaging 1995, pp. 201-213 T. Kapur, W. E. L. Grimson, W. M. Wells, and R. Kikinis Segmentation of brain tissue from magentic resonance images Medical Image Analysis 1996, 1:109-127 W. M. Wells, W. E. L. Grimson, R. Kikinis, and F. A. Jolesz Adaptive segmentation of MRI data IEEE Trans. Medical Imaging 1996, 15(4):429-443 K. V. Leemput, F. Maes, D. Vandermeulen, and P. Seutens Automated model-based tissue classification of MR images of the brain IEEE Trans. Med. Imaging 1999, 18:897-908 D. L. Pham, J. L. Prince An adaptive fuzzy segmentation algorithm for three-dimensional magnetic resonance images Proc. Information Processing in Medical Imaging 1999, pp. 140-153 Y. Zhang, M. Brady, and S. Smith 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 H. Greenspan, A. Ruf , J. Goldberger Constrained Gaussian mixture model framework for automatic segmentation of MR brain images IEEE Trans. Med. Imaging 2006, 25(9):1233-1245 Suyash P. Awate, Hui Zhang , James C. Gee A Fuzzy, Nonparametric Segmentation Framework for DTI and MRI Analysis: With Applications to DTI-Tract Extraction IEEE Trans. Medical Imaging 2007, 26(11):1525-1536 |