000176305 001__ 176305
000176305 005__ 20181114182247.0
000176305 0247_ $$2doi$$a10.1109/TMI.2011.2174158
000176305 02470 $$2ISI$$a000301198000010
000176305 037__ $$aARTICLE
000176305 245__ $$aRealistic Analytical Phantoms for Parallel Magnetic Resonance Imaging
000176305 269__ $$a2012
000176305 260__ $$bIEEE$$c2012
000176305 336__ $$aJournal Articles
000176305 520__ $$aThe quantitative validation of reconstruction algorithms requires reliable data. Rasterized simulations are popular but they are tainted by an aliasing component that impacts the assessment of the performance of reconstruction. We introduce analytical simulation tools that are suited to parallel magnetic resonance imaging and allow one to build realistic phantoms. The proposed phantoms are composed of ellipses and regions with piecewise-polynomial boundaries, including spline contours, Bezier contours, and polygons. In addition, they take the channel sensitivity into account, for which we investigate two possible models. Our analytical formulations provide well-defined data in both the spatial and k-space domains. Our main contribution is the closed-form determination of the Fourier transforms that are involved. Experiments validate the proposed implementation. In a typical parallel magnetic resonance imaging reconstruction experiment, we quantify the bias in the overly optimistic results obtained with rasterized simulations-the inverse-crime situation. We provide a package that implements the different simulations and provide tools to guide the design of realistic phantoms.
000176305 6531_ $$aFourier analytical simulation
000176305 6531_ $$ainverse crime
000176305 6531_ $$amagnetic resonance imaging (MRI)
000176305 6531_ $$aShepp-Logan
000176305 6531_ $$aMri
000176305 6531_ $$aReconstruction
000176305 700__ $$aGuerquin-Kern, M.$$uEcole Polytech Fed Lausanne, Biomed Imaging Grp, CH-1015 Lausanne, Switzerland
000176305 700__ $$aLejeune, L.$$uSwiss Fed Inst Technol, Inst Imaging & Appl Opt, CH-1015 Lausanne, Switzerland
000176305 700__ $$aPruessmann, K. P.$$uUniv Zurich, Inst Biomed Engn, CH-8092 Zurich, Switzerland
000176305 700__ $$0240182$$aUnser, M.$$g115227$$uEcole Polytech Fed Lausanne, Biomed Imaging Grp, CH-1015 Lausanne, Switzerland
000176305 773__ $$j31$$q626-636$$tIeee Transactions On Medical Imaging
000176305 8564_ $$uhttp://bigwww.epfl.ch/publications/guerquinkern1201.html$$zURL
000176305 8564_ $$uhttp://bigwww.epfl.ch/publications/guerquinkern1201.pdf$$zURL
000176305 8564_ $$uhttp://bigwww.epfl.ch/publications/guerquinkern1201.ps$$zURL
000176305 909C0 $$0252054$$pLIB$$xU10347
000176305 909CO $$ooai:infoscience.tind.io:176305$$pSTI$$pGLOBAL_SET$$particle
000176305 937__ $$aEPFL-ARTICLE-176305
000176305 970__ $$aguerquinkern1201/LIB
000176305 973__ $$aEPFL$$rREVIEWED$$sPUBLISHED
000176305 980__ $$aARTICLE