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Abstract #1504

MARTINI and GRAPPA - When Speed is Taste

Tom Hilbert 1,2 , Tobias Kober 1,3 , Tilman J. Sumpf 4 , Zhengguo Tan 4 , Jens Frahm 4 , Pavel Falkovskiy 1,3 , Heiko Meyer 5 , Rolf Bendl 6,7 , Jean-Philippe Thiran 2 , Reto Meuli 8 , and Gunnar Krueger 1,8

1 Advanced Clinical Imaging Technology, Siemens Healthcare IM BM PI, Lausanne, Switzerland, 2 Signal Processing Laboratory (LTS5) cole Polytechnique Fdrale de Lausanne, Lausanne, Switzerland, 3 CIBM - AIT, cole Polytechnique Fdrale de Lausanne, Lausanne, Switzerland, 4 Biomedizinische NMR Forschungs GmbH am Max-Planck-Institut fr biophysikalische Chemie, Gttingen, Germany, 5 Siemens Healthcare, Erlangen, Germany, 6 Division of Medical Physics in Radiation Oncology, DKFZ Heidelberg, Heidelberg, Germany, 7 Department of Medical Informatics, Heilbronn University, Germany, 8 Centre Hospitalier Universitaire Vaudoise and Univ. of Lausanne, Lausanne, Switzerland

In this work we investigate the combination of Model-based Accelerated RelaxomeTry by Iterative Nonlinear Inversion (MARTINI) with Generalized Autocalibrating Partially Parallel Acquisition (GRAPPA) to further accelerate and improve the reconstruction quality of T2 maps. GRAPPA is used to interpolate missing k-space lines of two-fold subsampled blocks of the MARTINI scheme prior to the MARTINI reconstruction. Images from an analytical phantom and in-vivo datasets are investigated. Resulting T2 maps of nominal 10-fold accelerated whole brain exams (1:40 minutes scans) are qualitatively and quantitatively compared to the reconstruction of the fully sampled and conventional 5-fold accelerated MARTINI datasets.

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