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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Main Author: Tan, Choong Leong.
Other Authors: Rajapakse, Jagath Chandana
Format: Theses and Dissertations
Published: 2008
Subjects:
Online Access:http://hdl.handle.net/10356/2454
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Institution: Nanyang Technological University
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spelling sg-ntu-dr.10356-24542023-03-04T00:33:00Z Bayesian segmentation and restoration of magnetic resonance brain images Tan, Choong Leong. Rajapakse, Jagath Chandana School of Computer Engineering 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 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. Doctor of Philosophy (SCE) 2008-09-17T09:03:24Z 2008-09-17T09:03:24Z 2003 2003 Thesis http://hdl.handle.net/10356/2454 Nanyang Technological University application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
topic 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
spellingShingle 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
Tan, Choong Leong.
Bayesian segmentation and restoration of magnetic resonance brain images
description 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.
author2 Rajapakse, Jagath Chandana
author_facet Rajapakse, Jagath Chandana
Tan, Choong Leong.
format Theses and Dissertations
author Tan, Choong Leong.
author_sort Tan, Choong Leong.
title Bayesian segmentation and restoration of magnetic resonance brain images
title_short Bayesian segmentation and restoration of magnetic resonance brain images
title_full Bayesian segmentation and restoration of magnetic resonance brain images
title_fullStr Bayesian segmentation and restoration of magnetic resonance brain images
title_full_unstemmed Bayesian segmentation and restoration of magnetic resonance brain images
title_sort bayesian segmentation and restoration of magnetic resonance brain images
publishDate 2008
url http://hdl.handle.net/10356/2454
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