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Abstract #2893

Fast Dictionary-free Reconstruction in MR Fingerprinting

Tianyu Han1, Teresa Nolte1,2, Nicolas Gross-Weege1, and Volkmar Schulz1,3

1Department for Physics of Molecular Imaging Systems, RWTH Aachen University, Aachen, Germany, 2Multiphysics and Optics, Philips Research Europe, Eindhoven, Netherlands, 3Oncology Solutions, Philips Research Europe, Eindhoven, Netherlands

MR fingerprinting offers a rapid way to accurately map multiple tissue parameters. The dictionary based reconstruction under the influence of Gaussian noise is identified as a convex optimization problem and solved by a Nelder-Mead simplex algorithm. Instead of a lengthy and uniform sampling proposed by dictionay matching, the new approach using a heuristic and incoherent sampling in the $$$T_1$$$-$$$T_2$$$ space. More robust $$$T_1$$$ estimations are obtained even under severe noise environments. Thus, a robust and fast MR fingerprinting reconstruction can be made without any dictionary.

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