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Alternative Breast Imaging: Four Model-Based Approaches PDF

270 Pages·2004·11.64 MB·English
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ALTERNATIVE BREAST IMAGING FOUR MODEL-BASED APPROACHES THE KLUWER INTERNATIONAL SERIES IN ENGINEERING AND COMPUTER SCIENCE ALTERNATIVE BREAST IMAGING FOUR MODEL-BASED APPROACHES edited by Keith D. Paulsen, Ph.D. Paul M. Meaney, Ph.D. Thayer School of Engineering Dartmouth College, Hanover, NH USA with Larry C. Gilman, Ph. D. Springer eBookISBN: 0-387-23364-4 Print ISBN: 0-387-23363-6 ©2005 Springer Science + Business Media, Inc. Print ©2005 Springer Science + Business Media, Inc. Boston All rights reserved No part of this eBook maybe reproducedor transmitted inanyform or byanymeans,electronic, mechanical, recording, or otherwise, without written consent from the Publisher Created in the United States of America Visit Springer's eBookstore at: http://ebooks.kluweronline.com and the Springer Global Website Online at: http://www.springeronline.com TABLE OF CONTENTS Contributors vii Preface xiii 1. Four Alternative Imaging Modalities Stephen Poplack, Wendy Wells, and Keith Paulsen 1 2. Computational Framework Paul M. Meaney and Keith Paulsen 25 3. Magnetic Resonance Elastography: Theory Elijah E. W. Van Houten and Marvin Doyley 49 4. Magnetic Resonance Elastography: Experimental Validation and Performance Optimization Marvin Doyley and John Weaver 69 5. Electrical Impedance Spectroscopy: Theory Hamid Dehghani and Nirmal K. Soni 85 6. Electrical Impedance Spectroscopy: Translation to Clinic Alex Hartov, Ryan J. Halter, and Todd E. Kerner 107 7. Microwave Imaging: A Model-Based Approach Paul M. Meaney and Qianqian Fang 127 8. Microwave Imaging: Hardware and Results Paul M. Meaney and Dun Li 155 9. Near Infrared Spectroscopic Imaging: Theory Hamid Dehghani and Brian Pogue 183 10. Near Infrared Spectroscopic Imaging: Translation to Clinic Brian Pogue, Shudong Jiang, Hamid Dehghani, and Keith Paulsen 201 11. Statistical Methods for Alternative Imaging Modalities in Breast Cancer Clinical Research Tor Tosteson 227 INDEX 245 This page intentionally left blank CONTRIBUTORS Hamid Dehghani, Assistant Professor of Engineering at the Thayer School of Engineering, Dartmouth College, received a B.S. in Biomedical and Bioelectronic Engineering from the University of Salford, UK, in 1994; an M.S. in Medical Physics and Clinical Engineering from Sheffield University, UK, in 1995; and a Ph.D. in Medical Imaging at Sheffield Hallam University, UK, in 1999. For three years he was a research assistant at University College, London, investigating near infrared imaging of the neonatal brain. His research interests include numerical modeling and image reconstruction with applications in both optical and electrical impedance to- mography. Marvin M. Doyley received a B.S. in Applied physics from Brunel University, UK, in 1994, and a Ph.D. in Biophysics from the University of London in 1999. From 1999 to 2001 he worked on intravascular ultrasonic elastography at the Department of Experimental Echocardiography of the Thoraxcentre, Erasmus University of Rotterdam. In 2001, he joined the Department of Radiology at the Dartmouth-Hitchcock Medical Center to work on magnetic resonance elastographic imaging in breast appli- cations. His research interests include ultrasonic and magnetic resonance im- aging, tissue characterization, and inverse problem solution. Alex Hartov, Associate Professor of Engineering at the Thayer School of Engineering, Dartmouth College, and Associate Pro- fessor of Surgery, Dartmouth Medical School, received a B.S. in Electrical Engineering from Northeastern University in 1984, an M.S. in Engineering Sciences from Dartmouth Col- lege in 1988, and a Ph.D. in Engineering Sciences from Dart- mouth College in 1991. His research interests include biomedical engineer- ing, electrical impedance tomography, image-guided surgery, cryosurgery, ultrasound, control theory, microwave imaging, and tumor hyperthermia. Contributors viii Elijah E. W. Van Houten, Lecturer in Computational Solid Mechanics at the University of Canterbury, Christchurch, New Zealand, received a B.S. in Mechanical Engineering and a B.A. in Music from Tufts University in 1997 and a Ph.D. in Engineering Sciences from Dartmouth College in 2001. His research interests include biomedical engineering, elasticity imaging, reconstructive imaging methods, modeling of coupled fluid–solid systems, and heart-valve dynamics. Shudong Jiang received her Ph.D. in optoelectronics from the Tokyo Institute of Technology in 1992. She was a research scientist at the Tokyo Institute of Technology and at Japan Science and Technology Corporation from 1992 to 1998. Her major fields are high-sensitivity optical detection and nano- etric-scale biosample observation and processing. She is currently a research associate at Dartmouth College in the field of near infra- red tomographic imaging of tissue. Todd Kerner received a B.S. in physics from Haverford College, Haverford, Pennsylvania, in 1994. He then worked at the Philadelphia Heart Institute as part of a team studying arrhythmias occurring after myocardial infarction. From 1995 to 2003 he was enrolled in the M.D./Ph.D. program at Dartmouth College. He received his Ph.D. in Engineering in 2003 for a thesis involving the design, construction, and testing of an electri- cal impedance tomography system. From 2003 to 2006 he is a resident in in- ternal medicine at the Dartmouth-Hitchcock Medical Center. Dun Li received a B.S. in Electrical Light Source Engineering from Fudan University, Shanghai, in 1991; an M.S. in Optoelectronics Engineering from the Shanghai Institute of Technical Physics, the Chinese Academy of Science, Shanghai, in 1997; and a Ph.D. in Biomedical Engineering from Dartmouth College in 2003. He is currently a Research Engineer at GE Medical Systems. His research interests include computa- tional and experimental electromagnetics and biomedical imaging/navigation system design and integration. ix Model-Based Breast Imaging Paul M. Meaney, Associate Professor of Engineering at the Thayer School of Engineering, Dartmouth, received an A.B. in Electrical Engineering and Computer Science from Brown University in 1982, an M.S. in Electrical Engineering from the University of Massachusetts in 1985, and a Ph.D. in Engi- neering Sciences from Dartmouth College in 1995. His re- search interests include microwave imaging for biomedical applications, mi- crowave antenna design, ultrasound-based elasticity imaging, and thermal modeling for focused-ultrasound surgery applications. Keith D. Paulsen, Professor of Engineering at the Thayer School of Engineering, Dartmouth College, received a B.S. from Duke University in 1981 and M.S. and Ph.D. degrees from Dartmouth in 1984 and 1986, all in biomedical engi- neering. He was an assistant professor of electrical and com- puter engineering at the University of Arizona from 1986 to 1988 and, jointly, an assistant professor in radiation oncology at the Univer- sity of Arizona Health Sciences Center. He began teaching at Dartmouth College in 1988. A recipient of numerous academic and research awards and fellowships, he has carried out sponsored research for the National Science Foundation, the Whitaker Foundation, and the National Institutes of Health through the National Cancer Institute and the National Institute on Neuro- logical Disorders and Stroke. He has served on numerous national advisory committees for the National Cancer Institute, including membership on the Radiation Study Section and the Diagnostic Imaging Study Section. At the Thayer School of Engineering, Dartmouth College, he teaches biomedical engineering and computational methods for engineering and scientific prob- lems and is head of the Dartmouth Breast Imaging Group. Brian Pogue is Associate Professor of Engineering at the Thayer School of Engineering, Dartmouth College, and holds research scientist positions at Harvard Medical School and Massachusetts General Hospital. He received a B.S. in 1989 and an M.S. in 1991, both in physics, from York University, Toronto, and a Ph.D. in medical physics from McMaster Uni- versity, Ontario, in 1995. He worked as a research assistant professor at Dartmouth for five years prior to his current position, and has been a scien- tific review board member for the National Institutes of Health, National Sci- ence Foundation, and the U.S. Department of Energy. He is the topical editor for the journal Optics Letters and a conference organizer for the Optical So-

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Medical imaging has been transformed over the past 30 years by the advent of computerized tomography (CT), magnetic resonance imaging (MRI), and various advances in x-ray and ultrasonic techniques. An enabling force behind this progress has been the (so far) exponentially increasing power of compute
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