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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