000			04955nam a22005295i 4500
001			978-0-387-23364-2
003			DE-He213
005			20250710083928.0
007			cr nn 008mamaa
008			100301s2005 xxu| s |||| 0|eng d
020			_a9780387233642 _a99780387233642
024	7		_a10.1007/b101336 _2doi
082	0	4	_a006.6 _223
082	0	4	_a006.37 _223
100	1		_aPaulsen, Keith D. _eauthor.
245	1	0	_aAlternative Breast Imaging _h[recurso electrónico] : _bFour Model-Based Approaches / _cby Keith D. Paulsen, Paul M. Meaney, Larry C. Gilman.
264		1	_aBoston, MA : _bSpringer US, _c2005.
300			_aXV, 253 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aThe Kluwer International Series in Engineering and Computer Science, _x0893-3405 ; _v778
505	0		_aFour 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.
520			_aMedical 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.
650		0	_aCOMPUTER SCIENCE.
650		0	_aRADIOLOGY, MEDICAL.
650		0	_aDIAGNOSIS, ULTRASONIC.
650		0	_aCOMPUTER VISION.
650		0	_aBIOMEDICAL ENGINEERING.
650	1	4	_aCOMPUTER SCIENCE.
650	2	4	_aIMAGE PROCESSING AND COMPUTER VISION.
650	2	4	_aULTRASOUND.
650	2	4	_aIMAGING / RADIOLOGY.
650	2	4	_aBIOMEDICAL ENGINEERING.
650	2	4	_aCOMPUTER IMAGING, VISION, PATTERN RECOGNITION AND GRAPHICS.
700	1		_aMeaney, Paul M. _eauthor.
700	1		_aGilman, Larry C. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780387233635
830		0	_aThe Kluwer International Series in Engineering and Computer Science, _x0893-3405 ; _v778
856	4	0	_uhttp://dx.doi.org/10.1007/b101336 _zVer el texto completo en las instalaciones del CICY
912			_aZDB-2-SCS
942			_2ddc _cER
999			_c56192 _d56192