Suyash P. Awate
research & publications
CV / resume
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
(invited paper from MICCAI 2005 conference)
 
Challenges Strategy
(1) noise (1) Markov random field model on data inferred nonparametrically
(2) oversmoothing in cortex (2) avoid explicit label regularization
(3) RF-field bias / inhomogeneity / nonuniformity (3) spatially-adaptive tissue modeling
(4) partial-volume effects (4) nonparametric modeling
(5) speed (5) approximations in statistical estimation:
takes 5 minutes for BrainWeb image
 
Robustness to noise and partial-volume effects
BrainWeb Data
in graph: solid line = proposed methodbrain tissue segmentation
 
Robustness to RF-field bias / inhomogeneity / nonuniformity
brain tissue segmentation
 
Validation for segmenting tissues : IBSR Repository from MGH
brain tissue segmentation
 
Validation for delineating the inner cortical-surface
brain tissue segmentation
 
Related Work
 
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