Meeting Banner
Abstract #1542

Multi-compartment MR Fingerprinting: an off-the-grid approach

Mohammad Golbabaee1 and Clarice Poon1
1University of Bath, Bath, United Kingdom

We introduce a novel off-the-grid sparse approximation algorithm to separate multiple tissue compartments in image voxels and to estimate quantitatively their NMR properties and mixture fractions, given the MR fingerprinting (MRF) measurements. The proposed algorithm is an accurate and importantly a scalable alternative to the multicompartment MRF baselines because it does not rely on fine-gridded multiparametric MRF dictionaries. The method is theoretically described, and its feasibility is demonstrated and compared to other baselines on in-vivo healthy brain measurements.

This abstract and the presentation materials are available to members only; a login is required.

Join Here