This work implements a Magnetic Resonance Fingerprinting (MRF) reconstruction that accounts for the presence of multiple compartments in a voxel. We estimate the contributions of the different tissues by incorporating a sparse-recovery method, based on reweighted-l1-norm regularization, within an iterative procedure that fits a multi-compartment model to the measured k-space data. The proposed approach is validated with simulated data, as well as with a controlled phantom experiment. In addition, we present preliminary results on in-vivo measurements of a brain.
How to access this content:
For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.
After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.
After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.
Keywords