Super-resolution Reconstruction Of Cardiac MR Images: A maximum a-posteriori based approach for super-resolution - Couverture souple

Rahman, Sami Ur

 
9783846538159: Super-resolution Reconstruction Of Cardiac MR Images: A maximum a-posteriori based approach for super-resolution
Couverture souple
ISBN 10 : 3846538159 ISBN 13 : 9783846538159
Editeur : LAP LAMBERT Academic Publishing, 2011

Synopsis

The high number of cardiac diseases in the developed countries cause a strong interest in tools and technology for the early detection of any cardiac dysfunction. There, cardiac magnetic resonance imaging (MRI) plays a key role for the non-invasive examination of the beating heart. Unfortunately,In cardiac MR images the slice thickness is normally greater than the pixel size within the slices. In general, better segmentation and analysis results can be expected for isotropic high-resolution (HR) data sets. If two orthogonal data sets, e. g. short-axis (SA) and long-axis (LA) volumes are combined, an increase in resolution can be obtained. In this book we employ a super-resolution reconstruction (SRR) algorithm for computing high-resolution data sets from two orthogonal SA and LA volumes. We conclude that image quality is dramatically enhanced by applying an SRR technique especially for cardiac MR images where the resolution in slice-selection direction is about five times lower than within the slices.

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Présentation de l'éditeur

The high number of cardiac diseases in the developed countries cause a strong interest in tools and technology for the early detection of any cardiac dysfunction. There, cardiac magnetic resonance imaging (MRI) plays a key role for the non-invasive examination of the beating heart. Unfortunately,In cardiac MR images the slice thickness is normally greater than the pixel size within the slices. In general, better segmentation and analysis results can be expected for isotropic high-resolution (HR) data sets. If two orthogonal data sets, e. g. short-axis (SA) and long-axis (LA) volumes are combined, an increase in resolution can be obtained. In this book we employ a super-resolution reconstruction (SRR) algorithm for computing high-resolution data sets from two orthogonal SA and LA volumes. We conclude that image quality is dramatically enhanced by applying an SRR technique especially for cardiac MR images where the resolution in slice-selection direction is about five times lower than within the slices.

Biographie de l'auteur

The author is currently pursuing his Ph.D at Technische Universität Darmstat Germany. He has done Master in Applied Computer Science from Freiburg University Germany. He has taught at different universities in Pakistan including Malakand University, N-W.F.P University of Engineering and Technology Peshawar, Qurtuba university and CECOS University.

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
2011
Langue
anglais
ISBN 10 
3846538159
ISBN 13 
9783846538159
Reliure
Broché
Nombre de pages
60
Coordonnées du fabricant
non disponible
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