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My ICIP 2006 Schedule
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Paper Detail
| Paper: | MA-L3.7 |
| Session: | Biomedical Image Segmentation |
| Time: | Monday, October 9, 12:00 - 12:20 |
| Presentation: |
Lecture |
| Topic: |
Biomedical Imaging: Biomedical image segmentation and quantitative analysis |
| Title: |
PROBABILISTIC BRAIN LESION SEGMENTATION IN DT-MRI |
| Authors: |
Gady Agam; Illinois Institute of Technology | | | | | Daniel Weiss; Illinois Institute of Technology | | | | | Mandar Soman; Illinois Institute of Technology | | | | | Konstantinos Arfanakis; Illinois Institute of Technology | | |
| Abstract: |
Lesion segmentation in MRI scans is used for lesion quantification as pertaining to various medical conditions. We propose a novel technique for chronic stroke lesion segmentation based on multiple modalities including T1-weighted and T2-weighted images as well as diffusion tensor-based modalities. The proposed approach is based on a mixture-parametric probabilistic model whereas the model parameters are optimized by maximizing the incomplete-data log-likelihood function through expectation maximization. The mixture components are selected to have Cauchy distributions thus facilitating efficient computation and increased robustness to noise. A probabilistic prior is computed by evaluating the feature vectors for a set of registered brain scans in a control set. Experimental results on actual clinical data demonstrate the effectiveness of the proposed approach. |
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