Geodesic tractography segmentation for directional medical image analysis

Geodesic Tractography Segmentation is the two component approach presented in this thesis for the analysis of imagery in oriented domains, with emphasis on the application to diffusion-weighted magnetic resonance imagery (DW-MRI). The computeraided analysis of DW-MRI data presents a new set of probl...

Full description

Bibliographic Details
Main Author: Melonakos, John
Published: Georgia Institute of Technology 2009
Subjects:
MRI
Online Access:http://hdl.handle.net/1853/28139
id ndltd-GATECH-oai-smartech.gatech.edu-1853-28139
record_format oai_dc
spelling ndltd-GATECH-oai-smartech.gatech.edu-1853-281392014-01-07T03:37:15ZGeodesic tractography segmentation for directional medical image analysisMelonakos, JohnMedical image analysisMRITractographyImage processingDiagnostic imagingGeodesics (Mathematics)Geodesic flowsGeodesic Tractography Segmentation is the two component approach presented in this thesis for the analysis of imagery in oriented domains, with emphasis on the application to diffusion-weighted magnetic resonance imagery (DW-MRI). The computeraided analysis of DW-MRI data presents a new set of problems and opportunities for the application of mathematical and computer vision techniques. The goal is to develop a set of tools that enable clinicians to better understand DW-MRI data and ultimately shed new light on biological processes. This thesis presents a few techniques and tools which may be used to automatically find and segment major neural fiber bundles from DW-MRI data. For each technique, we provide a brief overview of the advantages and limitations of our approach relative to other available approaches.Acknowledgements page removed per author's request, 01/06/2014.Georgia Institute of Technology2009-06-08T19:02:34Z2009-06-08T19:02:34Z2008-12-17Dissertationhttp://hdl.handle.net/1853/28139
collection NDLTD
sources NDLTD
topic Medical image analysis
MRI
Tractography
Image processing
Diagnostic imaging
Geodesics (Mathematics)
Geodesic flows
spellingShingle Medical image analysis
MRI
Tractography
Image processing
Diagnostic imaging
Geodesics (Mathematics)
Geodesic flows
Melonakos, John
Geodesic tractography segmentation for directional medical image analysis
description Geodesic Tractography Segmentation is the two component approach presented in this thesis for the analysis of imagery in oriented domains, with emphasis on the application to diffusion-weighted magnetic resonance imagery (DW-MRI). The computeraided analysis of DW-MRI data presents a new set of problems and opportunities for the application of mathematical and computer vision techniques. The goal is to develop a set of tools that enable clinicians to better understand DW-MRI data and ultimately shed new light on biological processes. This thesis presents a few techniques and tools which may be used to automatically find and segment major neural fiber bundles from DW-MRI data. For each technique, we provide a brief overview of the advantages and limitations of our approach relative to other available approaches. === Acknowledgements page removed per author's request, 01/06/2014.
author Melonakos, John
author_facet Melonakos, John
author_sort Melonakos, John
title Geodesic tractography segmentation for directional medical image analysis
title_short Geodesic tractography segmentation for directional medical image analysis
title_full Geodesic tractography segmentation for directional medical image analysis
title_fullStr Geodesic tractography segmentation for directional medical image analysis
title_full_unstemmed Geodesic tractography segmentation for directional medical image analysis
title_sort geodesic tractography segmentation for directional medical image analysis
publisher Georgia Institute of Technology
publishDate 2009
url http://hdl.handle.net/1853/28139
work_keys_str_mv AT melonakosjohn geodesictractographysegmentationfordirectionalmedicalimageanalysis
_version_ 1716622963293290496