VARPRO-based parameter estimation is extensively used in MR for its improved accuracy, precision, and convergence behavior compared to general nonlinear least-squares algorithms. This study investigates the feasibility of using matrix-based signal models with VARPRO instead of conventional analytic signal equations. Simulations and in-vivo study show that VARPRO with matrix-based signal models is identical to VARPRO with analytic signal equations, and both VARPRO approaches provide enhanced precision and accuracy in relaxometry maps compared to the conventional DESPOT1/2 methods from variable flip angle SPGR and bSSFP measurements.
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