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
We implemented compressed sensing for quantitative MRI with the Multi Parameter Mapping protocol. We present qMRI estimates obtained using a range of acceleration factors, leading to four-fold acquisition time reduction while keeping parameter variations per brain structure below 7.3%.
Figure 3: MTSat, PD, R1, and R2* maps obtained from GRAPPAx2 and compressed sensing reconstructions with acceleration factors 2, 4, 8.
Figure 2: Magnitude images of the first echo obtained from the T1-weighted (T1w), PD-weighted, and MT-weighted multi-echo GRE acquisitions in comparison of the different acceleration techniques: GRAPPAx2 and compressed sensing (CS) reconstructions with acceleration factors 2, 4, and 8.