Abstract #3064

Compressed sensing for accelerated multi-parameter quantitative MRI

Arun Joseph^1,2,3, Quentin Raynaud⁴, Antoine Lutti⁴, Tobias Kober^5,6,7, and Tom Hilbert^5,6,7

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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