LEADER 03640nam 2200541Ia 450 001 9910438117203321 005 20200520144314.0 010 $a3-658-01134-3 024 7 $a10.1007/978-3-658-01134-5 035 $a(CKB)2550000001045966 035 $a(EBL)1206215 035 $a(SSID)ssj0000880285 035 $a(PQKBManifestationID)11527999 035 $a(PQKBTitleCode)TC0000880285 035 $a(PQKBWorkID)10873364 035 $a(PQKB)11526226 035 $a(DE-He213)978-3-658-01134-5 035 $a(MiAaPQ)EBC1206215 035 $a(PPN)169140954 035 $a(EXLCZ)992550000001045966 100 $a20130422d2013 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aMagnetic resonance imaging with nonlinear gradient fields $esignal encoding and image reconstruction /$fGerrit Schultz 205 $a1st ed. 2013. 210 $aWiesbaden ;$aNew York $cSpringer Spektrum$d2013 215 $a1 online resource (333 p.) 300 $aOriginally presented as the author's doctoral thesis, University of Freiburg, Germany, March 2012. 311 $a3-658-01133-5 320 $aIncludes bibliographical references. 327 $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. 330 $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.  . 606 $aMagnetic resonance imaging 606 $aMedical physics 615 0$aMagnetic resonance imaging. 615 0$aMedical physics. 676 $a616.07548 700 $aSchultz$b Gerrit$0910497 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910438117203321 996 $aMagnetic Resonance Imaging with Nonlinear Gradient Fields$92037801 997 $aUNINA