000			03501nam a22004455i 4500
001			978-3-658-01134-5
003			DE-He213
005			20140220082924.0
007			cr nn 008mamaa
008			130405s2013 gw | s |||| 0|eng d
020			_a9783658011345 _9978-3-658-01134-5
024	7		_a10.1007/978-3-658-01134-5 _2doi
050		4	_aT50
072		7	_aPDDM _2bicssc
072		7	_aSCI068000 _2bisacsh
082	0	4	_a530.8 _223
100	1		_aSchultz, Gerrit. _eauthor.
245	1	0	_aMagnetic Resonance Imaging with Nonlinear Gradient Fields _h[electronic resource] : _bSignal Encoding and Image Reconstruction / _cby Gerrit Schultz.
264		1	_aWiesbaden : _bSpringer Fachmedien Wiesbaden : _bImprint: Springer Spektrum, _c2013.
300			_aXVI, 333 p. 93 illus., 27 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aPhysical and Technical Background -- Image Reconstruction in MRI -- Overview of PatLoc Imaging and Presentation of Initial Hardware Designs -- Basics of Signal Encoding and Image Reconstruction in PatLoc Imaging -- Direct Reconstruction for Cartesian PatLoc Imaging -- Direct Reconstruction for Radial PatLoc Imaging -- Iterative Reconstruction in PatLoc Imaging -- Summary and Outlook.
520			_aWithin the past few decades magnetic resonance imaging has become one of the most important imaging modalities in medicine. For a reliable diagnosis of pathologies further technological improvements are of primary importance. This text deals with a radically new approach of image encoding: The fundamental principle of gradient linearity is challenged by investigating the possibilities of acquiring anatomical images with the help of nonlinear gradient fields. Besides a thorough theoretical analysis with a focus on signal encoding and image reconstruction, initial hardware implementations are tested using phantom as well as in-vivo measurements. Several applications are presented that give an impression about the implications that this technological advancement may have for future medical diagnostics.   Contents n  Image Reconstruction in MRI n  Nonlinear Gradient Encoding: PatLoc Imaging n  Presentation of Initial Hardware Designs n  Basics of Signal Encoding and Image Reconstruction in PatLoc Imaging n  Direct and Iterative Reconstruction Techniques     Target Groups ·         Researchers and students in the fields of physics, mathematics, medicine and engineering with interest in imaging technology. ·         Industrial practitioners with focus on medical imaging.   About the Author Gerrit Schultz studied Physics and Mathematics at the Universities of Heidelberg and Geneva. He joined the Medical Physics Group at the University Medical Center in Freiburg in 2007, where he is currently working as a postdoctoral researcher.
650		0	_aPhysics.
650		0	_aRadiology, Medical.
650		0	_aElectronics.
650	1	4	_aPhysics.
650	2	4	_aMeasurement Science and Instrumentation.
650	2	4	_aDiagnostic Radiology.
650	2	4	_aElectronics and Microelectronics, Instrumentation.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783658011338
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-658-01134-5
912			_aZDB-2-PHA
999			_c98915 _d98915