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Abstract #3064

Compressed sensing for accelerated multi-parameter quantitative MRI

Arun Joseph1,2,3, Quentin Raynaud4, Antoine Lutti4, Tobias Kober5,6,7, and Tom Hilbert5,6,7
1Advanced Clinical Imaging Technology, Siemens Healthcare AG, Bern, Switzerland, 2Translational Imaging Center, Sitem-Insel, Bern, Switzerland, 3Departments of Radiology and Biomedical Research, University of Bern, Bern, Switzerland, 4Laboratory for Neuroimaging Research, Department for Clinical Neuroscience, Lausanne University Hospital and Lausanne University, Lausanne, Switzerland, 5Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland, 6Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 7LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland

Quantitative MRI (qMRI) provides biomarkers of microstructural properties of brain tissue and enables in-vivo monitoring of microscopic brain changes due to disease in patient populations. The widely used Multi Parameter Mapping qMRI protocol allows the computation of MTSat, PD, R1, and R2* maps. While it allows the assessment of multiple brain tissue properties, its acquisition time is excessive for clinical applications. Here, we propose a compressed sensing scheme based on a Cartesian spiral-phyllotaxis readout to reduce the total acquisition time of 1mm isotropic whole brain maps. A preliminary qualitative and quantitative validation is performed on healthy subjects.

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