Multimodal Processing Environment for Magnetic Resonance Imaging: Development of a visualization and navigational data processing platform for analysis of multiple modalities of MRI data - Couverture souple

Jain, Sahil

 
9783847371205: Multimodal Processing Environment for Magnetic Resonance Imaging: Development of a visualization and navigational data processing platform for analysis of multiple modalities of MRI data
Couverture souple
ISBN 10 : 3847371207 ISBN 13 : 9783847371205
Editeur : LAP LAMBERT Academic Publishing, 2012

Synopsis

Discovery of multiple modalities of Magnetic Resonance Imaging (MRI) has led to challenges regarding how to best utilize and interpret combined information for research and clinical purposes. For example, a MRI study of the brain may involve structural, spectroscopy, perfusion, and functional MRI in different sessions, providing anatomical, metabolic, physiological and functional information. Such data often needs to be analyzed and visualized separately as topological information in each dataset tends to be independent of the other. In this project, we explore a global approach that involves visualization and inter/intra-modality registration support for various MRI modalities and supplement it with a library of optimized tools for 3D image processing, performing multi-step complex DTI computation, gray-white matter classification, cortical thickness calculation, noise removal and perfusion ratio calculation. By quantitative comparisons of reproducibility of results at various processing steps, we measure the variability of the implemented algorithms and also attempt to solve issues like memory management, low robustness and scalability and high processing times.

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Présentation de l'éditeur

Discovery of multiple modalities of Magnetic Resonance Imaging (MRI) has led to challenges regarding how to best utilize and interpret combined information for research and clinical purposes. For example, a MRI study of the brain may involve structural, spectroscopy, perfusion, and functional MRI in different sessions, providing anatomical, metabolic, physiological and functional information. Such data often needs to be analyzed and visualized separately as topological information in each dataset tends to be independent of the other. In this project, we explore a global approach that involves visualization and inter/intra-modality registration support for various MRI modalities and supplement it with a library of optimized tools for 3D image processing, performing multi-step complex DTI computation, gray-white matter classification, cortical thickness calculation, noise removal and perfusion ratio calculation. By quantitative comparisons of reproducibility of results at various processing steps, we measure the variability of the implemented algorithms and also attempt to solve issues like memory management, low robustness and scalability and high processing times.

Biographie de l'auteur

Sahil is a MD candidate at the Boston University School of Medicine, Class of 2013. He also holds a Masters in Biomedical Engineering from Boston University and a Masters in Business Administration from Northwestern University's Kellogg School of Management. His interests include primary-care management, healthcare entrepreneurship & health IT.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2012
Langue
anglais
ISBN 10 
3847371207
ISBN 13 
9783847371205
Reliure
Broché
Nombre de pages
112
Coordonnées du fabricant
non disponible
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