Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies
With the advances in image guided surgery for cancer treatment, the role of image segmentation and registration has become very critical. The central engine of any image guided surgery product is its ability to quantify the organ or segment the organ whet
- PDF / 13,560,055 Bytes
- 415 Pages / 439.37 x 666.142 pts Page_size
- 31 Downloads / 200 Views
Ayman S. El-Baz Majid Mirmehdi
l
l
Rajendra Acharya U Jasjit S. Suri
Editors
Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies Volume 1
Editors Ayman S. El-Baz Department of Bioengineering University of Louisville 40292 Louisville, KY USA [email protected]
Majid Mirmehdi Department of Computer Science University of Bristol Bristol, UK
Rajendra Acharya U Ngee Ann Polytechnic School of Engineering Clementi Road 535 599489 Singapore Blk 7 Level 2 Singapore [email protected] Jasjit S. Suri Biomedical Technologies, Inc. Denver, CO, USA Global Biomedical Technologies, Inc. California, USA (Aff.) Idaho State University Pocatello, ID USA [email protected]
ISBN 978-1-4419-8194-3 e-ISBN 978-1-4419-8195-0 DOI 10.1007/978-1-4419-8195-0 Springer New York Dordrecht Heidelberg London Library of Congress Control Number: 2011924210 # Springer Science+Business Media, LLC 2011 All rights reserved. This work may not be translated or copied in whole or in part without the written permission of the publisher (Springer Science+Business Media, LLC, 233 Spring Street, New York, NY 10013, USA), except for brief excerpts in connection with reviews or scholarly analysis. Use in connection with any form of information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed is forbidden. The use in this publication of trade names, trademarks, service marks, and similar terms, even if they are not identified as such, is not to be taken as an expression of opinion as to whether or not they are subject to proprietary rights. Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
Ayman S. El-Baz would like to dedicate this book to his wife, daughter, son, mother, and father. Rajendra Acharya U would like to dedicate this book to his students, collaborators, and colleagues. Andrew Laine would like to dedicate this book to his late beloved father Jason Laine. Jasjit S. Suri would like to dedicate this book to his students and collaborators all over the world.
Contents
1
Integrating Shape and Texture in 3D Deformable Models: From Metamorphs to Active Volume Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Tian Shen, Shaoting Zhang, Junzhou Huang, Xiaolei Huang, and Dimitris N. Metaxas
2
Deformable Model-Based Medical Image Segmentation . . . . . . . . . . . . . . . 33 Gavriil Tsechpenakis
3
Anisotropic Scale Selection, Robust Gaussian Fitting, and Pulmonary Nodule Segmentation in Chest CT Scans . . . . . . . . . . . . . 69 Kazunori Okada
4
Computerized Segmentation of Organs by Means of Geodesic Active-Contour Level-Set Algorithm . . . . . . . . . . . . . . . . . . . . . . . . 103 Kenji Suzuki
5
Segmentation of Skin Cancer Using External Force Filtering Snake Based on Wavelet Diffusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 129 Jinshan Tang and Shengwen Guo
6
Density and Attachment Agnostic CT Pulmonary Nodule
Data Loading...
