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» Robust Fuzzy Segmentation of Magnetic Resonance Images
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MICCAI
2005
Springer
14 years 9 months ago
Tissue Classification of Noisy MR Brain Images Using Constrained GMM
We present an automated algorithm for tissue segmentation of noisy, low contrast magnetic resonance (MR) images of the brain. We use a mixture model composed of a large number of G...
Amit Ruf, Hayit Greenspan, Jacob Goldberger
IPMI
2009
Springer
14 years 9 months ago
Bayesian Registration via Local Image Regions: Information, Selection and Marginalization
We propose a novel Bayesian registration formulation in which image location is represented as a latent random variable. Location is marginalized to determine the maximum a priori ...
Matthew Toews, William M. Wells III
SIBGRAPI
2007
IEEE
14 years 3 months ago
Seed-Relative Segmentation Robustness of Watershed and Fuzzy Connectedness Approaches
This paper analyzes the robustness issue in three segmentation approaches: the iterative relative fuzzy object extraction, the watershed transforms (WT) by image foresting transfo...
Romaric Audigier, Roberto de Alencar Lotufo
MICCAI
1999
Springer
14 years 29 days ago
Statistical 3D Vessel Segmentation Using a Rician Distribution
Abstract. This paper presents an extended version of the fully automated 3D cerebral vessel reconstruction algorithm developed by Wilson and Noble [11] which is applicable to time-...
Albert C. S. Chung, J. Alison Noble
MICCAI
2005
Springer
14 years 9 months ago
Synthetic Ground Truth for Validation of Brain Tumor MRI Segmentation
Validation and method of comparison for segmentation of magnetic resonance images (MRI) presenting pathology is a challenging task due to the lack of reliable ground truth. We prop...
Marcel Prastawa, Elizabeth Bullitt, Guido Gerig