An Automated System for 3D Segmentation of CT Angiograms
This chapter presents a novel automated two-step algorithm for segmentation of the entire arterial tree in 3D contrast-enhanced Computed Tomography Angiography (CTA) datasets. In the first stage of the proposed algorithm, the main branches of the coronary
- PDF / 11,279,621 Bytes
- 256 Pages / 453.543 x 683.15 pts Page_size
- 9 Downloads / 230 Views
Fabiana Rodrigues Leta Editor
Visual Computing Scientific Visualization and Imaging Systems
Augmented Vision and Reality Volume 4
Series editors Riad I. Hammoud, Kokomo, IN, USA Lawrence B. Wolff, New York, NY, USA
For further volumes: http://www.springer.com/series/8612
Fabiana Rodrigues Leta Editor
Visual Computing Scientific Visualization and Imaging Systems
123
Editor Fabiana Rodrigues Leta Mechanical Engineering Department Universidade Federal Fluminense Niterói, Rio de Janeiro Brazil
ISSN 2190-5916 ISSN 2190-5924 (electronic) ISBN 978-3-642-55130-7 ISBN 978-3-642-55131-4 (eBook) DOI 10.1007/978-3-642-55131-4 Springer Heidelberg New York Dordrecht London Library of Congress Control Number: 2014942062 Springer-Verlag Berlin Heidelberg 2014 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. Exempted from this legal reservation are brief excerpts in connection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or parts thereof is permitted only under the provisions of the Copyright Law of the Publisher’s location, in its current version, and permission for use must always be obtained from Springer. Permissions for use may be obtained through RightsLink at the Copyright Clearance Center. Violations are liable to prosecution under the respective Copyright Law. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. While the advice and information in this book are believed to be true and accurate at the date of publication, neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors or omissions that may be made. The publisher makes no warranty, express or implied, with respect to the material contained herein. Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
To my husband Anchizes To my parents, Nicola and Ana Lucia, in memoriam
Preface
Scientific Visualization and Imaging Systems include multidisciplinary areas, with applications in many knowledge fields such as Engineering, Medicine, Material Science, Physics, Geology, Geographic Information Systems, among others. Scientific Visualization in this volume is understood as the science field that involves the visual representation of data acquired from experiments. A
Data Loading...
