Terahertz Imaging for Biomedical Applications Pattern Recognition an
Terahertz Imaging for Biomedical Applications: Pattern Recognition and Tomographic Reconstruction presents the necessary algorithms needed to assist screening, diagnosis, and treatment, and these algorithms will play a critical role in the accurate detect
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Xiaoxia Yin • Brian W.-H. Ng • Derek Abbott
Terahertz Imaging for Biomedical Applications Pattern Recognition and Tomographic Reconstruction
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Dr. Xiaoxia Yin School of Electrical and Electronic Engineering University of Adelaide Adelaide, Australia
Dr. Brian W.-H. Ng School of Electrical and Electronic Engineering University of Adelaide Adelaide, Australia
Prof. Derek Abbott School of Electrical and Electronic Engineering University of Adelaide Adelaide, Australia
Additional material to this book can be downloaded from http://extras.springer.com
ISBN 978-1-4614-1820-7 e-ISBN 978-1-4614-1821-4 DOI 10.1007/978-1-4614-1821-4 Springer New York Dordrecht Heidelberg London Library of Congress Control Number: 2012930046 © Springer Science+Business Media, LLC 2012 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)
Preface
Over the last decade, terahertz (THz or T-ray) biomedical imaging has become a modality of interest due to its ability to simultaneously acquire both image and spectral information. THz imaging systems are being commercialized, with increasing interest in a biomedical setting. Advanced digital image processing algorithms are greatly needed to assist screening, diagnosis, and treatment. Pattern recognition algorithms play a critical role in the accurate and automatic process of detecting abnormalities when applied to biomedical imaging. This goal requires classification of information-bearing physical contrast patterns and identification of information in images, for example, distinguishing between different biological tissues or materials. T-ray tomographic imaging and detection technology contributes especially to our ability for discriminating opaque objects with clear boundaries and makes possible significant potential applications in both in vivo and ex vivo environments. This monograph consists of a number of chapters, which can be grouped into three parts. The first part provides a review of the state-of-the-art regarding THz sources and detectors, THz imaging modes, and THz imaging analysis. Pattern recognition forms the second part of this monograph, which is represented via combining several basic operations: wavelet transforms and wavelet-based signal filtering, feature extraction and selection, along with classificatio
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