Abstract #3547

Towards Sequence Optimization for Multi-Compartment Magnetic Resonance Fingerprinting

Tom Griesler^1,2,3, Maximilian Gram^1,4, Jannik Stebani¹, Petra Albertova^1,4, Peter Dawood¹, Nicole Seiberlich^2,3, Peter Michael Jakob¹, and Martin Blaimer⁵

¹Experimental Physics 5, University of Würzburg, Würzburg, Germany, ²Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States, ³Department of Radiology, University of Michigan, Ann Arbor, MI, United States, ⁴Department of Internal Medicine I, University Hospital Würzburg, Würzburg, Germany, ⁵Magnetic Resonance and X-Ray Imaging Department, Division Development Center X-Ray Technology, Fraunhofer Institute for Integrated Circuits IIS, Würzburg, Germany

Synopsis

Keywords: MR Fingerprinting, MR Fingerprinting, Myelin

Motivation: Volumetric measurements of the myelin water fraction in the human brain are hampered by long acquisition times.

Goal(s): Investigate the extent to which sequence optimization can improve the encoding efficiency of multi-compartment Magnetic Resonance Fingerprinting.

Approach: Implement different cost functions to optimize MRF sequence parameters. Validate the results with simulations, one-dimensional projection measurements in phantoms and in vivo measurements.

Results: MRF sequence design has a significant influence on partial volume estimation with MRF. Optimization can yield improved tissue discrimination and more detailed myelin water fraction maps.

Impact: MRF sequence design has a significant influence on partial volume estimation, yielding potential for optimization of, for example, tissue discrimination and myelin water fraction mapping. Further investigation of cost functions and validation of results is needed.

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