Articles liés à Multi-dimensional image segmentation and registration:...

Multi-dimensional image segmentation and registration: Coronary artery segmentation and motion modelling - Couverture souple

Zhang, Dong Ping

 
9783659346354: Multi-dimensional image segmentation and registration: Coronary artery segmentation and motion modelling
Couverture souple
ISBN 10 : 3659346357 ISBN 13 : 9783659346354
Editeur : LAP LAMBERT Academic Publishing, 2013

Synopsis

This book focuses on designing segmentation and motion tracking methods of the coronary arteries in order to build pre-operative patient-specific motion models. Various vessel centreline and lumen segmentation algorithms are presented, including intensity based approaches, geometric model matching method and morphology-based method. A probabilistic atlas of the coronary arteries is formed from a group of subjects to facilitate the vascular segmentation and registration procedures. Non-rigid registration framework based on a free-form deformation model and multi-level multi-channel large deformation diffeomorphic metric mapping are proposed to track the coronary motion. The methods are applied to 4D CTA images acquired from various groups of patients and quantitatively evaluated. The thesis work presented in this book can be applied to the wide image processing and data analysis domains in general.

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Présentation de l'éditeur

This book focuses on designing segmentation and motion tracking methods of the coronary arteries in order to build pre-operative patient-specific motion models. Various vessel centreline and lumen segmentation algorithms are presented, including intensity based approaches, geometric model matching method and morphology-based method. A probabilistic atlas of the coronary arteries is formed from a group of subjects to facilitate the vascular segmentation and registration procedures. Non-rigid registration framework based on a free-form deformation model and multi-level multi-channel large deformation diffeomorphic metric mapping are proposed to track the coronary motion. The methods are applied to 4D CTA images acquired from various groups of patients and quantitatively evaluated. The thesis work presented in this book can be applied to the wide image processing and data analysis domains in general.

Biographie de l'auteur

Dong Ping received her PhD in Computing from Imperial College London, UK. Her PhD research focused on large scale multi-modality biomedical data analysis in both temporal and spatial domains.

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
2013
Langue
anglais
ISBN 10 
3659346357
ISBN 13 
9783659346354
Reliure
Broché
Nombre de pages
168
Coordonnées du fabricant
non disponible
Personne responsable
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