Bayesian segmentation and restoration of magnetic resonance brain images

Bayesian segmentation and restoration of magnetic resonance brain images

My objective in this research is to develop and extend existing image restora-tion techniques by introducing more powerful image models for MR images. The approach shall also be automated, data-driven, and require very minimal inter-ference from users so that neurologists can concerntrate on their j...

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Bibliographic Details
Main Author: Tan, Choong Leong.
Other Authors: Rajapakse, Jagath Chandana
Format: Theses and Dissertations
Published: 2008
Subjects:
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences
Online Access:http://hdl.handle.net/10356/2454
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Institution: Nanyang Technological University
Description
Summary:My objective in this research is to develop and extend existing image restora-tion techniques by introducing more powerful image models for MR images. The approach shall also be automated, data-driven, and require very minimal inter-ference from users so that neurologists can concerntrate on their job of analysing the data instead of fine-tuning parameters to ensure good segmentations.

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