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Alternative Breast Imaging : Four Model-Based Approaches / edited by Keith D. Paulsen, Paul M. Meaney, Larry Gilman
(The Springer International Series in Engineering and Computer Science ; 778)

データ種別	電子ブック
版	1st ed. 2005.
出版者	(New York, NY : Springer US : Imprint: Springer)
出版年	2005
大きさ	XVI, 254 p : online resource
著者標目	Paulsen, Keith D editor Meaney, Paul M editor Gilman, Larry editor SpringerLink (Online service)

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URL	巻　次	配架場所	請求記号	登録番号	コメント	刷　年	状　態	利用注記	ISBN	予約	請求メモ
URL		射水-電子	007	EB0001632	Computer Scinece R0 2005-6,2022-3				9780387233642

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一般注記	Four Alternative Breast Imaging Modalities -- Computational Framework -- Magnetic Resonance Elastography: Theory -- Magnetic Resonance Elastrography: Experimental Validation and Performance Optimazation -- Electrical Impedance Spectroscopy: Theory -- Electrical Impedance Spectroscopy: Translation to Clinic -- Microwave Imaging: A Model-Based Approach -- Microwave Imaging: Hardware and Results -- Near Infrared Spectroscopic Imaging: Theory -- Near Infrared Spectroscopic Imaging: Translation to Clinic -- Statistical Methods for Alternative Imaging Modalities in Breast Cancer Clinical Research 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 computers, which has made it practical to explore fundamentally new approaches. In particular, what our group terms "model-based" modalities-which produce tissue property images from data using nonlinear, iterative numerical modeling techniques-have become increasingly feasible. Alternative Breast Imaging: Four Model-Based Approaches explores our research on four such modalities, particularly with regard to imaging of the breast: (1) MR elastography (MRE), (2) electrical impedance spectroscopy (EIS), (3) microwave imaging spectroscopy (MIS), and (4) near infrared spectroscopic imaging (NIS). Chapter 1 introduces the present state of breast imaging and discusses how our alternative modalities can contribute to the field. Chapter 2 looks at the computational common ground shared by all four modalities. Chapters 2 through 10 are devoted to the four modalities, with each modality being discussed first in a theory chapter and then in an implementation-and-results chapter. The eleventh and final chapter discusses statistical methods for image analysis in the context of these four alternative imaging modalities. Imaging for the detection of breast cancer is a particularly interesting and relevant application of the four imaging modalities discussed in this book. Breast cancer is an extremely common health problem for women; the National Cancer Institute estimates that one in eight US women will develop breast cancer at least once in her lifetime. Yet the efficacy of the standard (and notoriously uncomfortable) early-detection test, the x-ray mammogram, has been disputed of late, especially for younger women. Conditions are thus ripe for the development of affordable techniques that replace or complement mammography. The breast is both anatomically accessible and small enough that the computing power required to model it, is affordable. Alternative Breast Imaging: Four Model-Based Approaches is structured to meet the needs of a professional audience composed of researchers and practitioners in industry. This book is also suitable for graduate-level students in computer science, electrical engineering and biomedical imaging HTTP:URL=https://doi.org/10.1007/b101336
件　名	LCSH:Computer vision LCSH:Ultrasonics LCSH:Radiology LCSH:Biomedical engineering LCSH:Image processing—Digital techniques FREE:Computer Vision FREE:Ultrasonics FREE:Radiology FREE:Biomedical Engineering and Bioengineering FREE:Computer Imaging, Vision, Pattern Recognition and Graphics
分　類	LCC:TA1634 DC23:006.37
書誌ID	EB00001020
ISBN	9780387233642