Abstract #0627

Modeling Phase Errors for Robust and Efficient Multidimensional MR Fingerprinting for Simultaneous Relaxation and Diffusion Mapping

Zhilang Qiu¹, Siyuan Hu¹, Walter Zhao¹, Ken Sakaie², Filip Szczepankiewicz³, Jessie E.P. Sun⁴, Mark A. Griswold⁴, Derek K. Jones⁵, and Dan Ma¹

¹Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States, ²Imaging Institute, Cleveland Clinic, Cleveland, OH, United States, ³Medical Radiation Physics, Clinical Sciences Lund, Lund University, Lund, Sweden, ⁴Department of Radiology, Case Western Reserve University, Cleveland, OH, United States, ⁵Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, United Kingdom

Synopsis

Keywords: MR Fingerprinting, MR Fingerprinting

Motivation: Diffusion MRI can be corrupted by phase errors due to physiological motion, bulk motion, eddy currents, and other system imperfections, which makes its efficient embedding into MR Fingerprinting challenging.

Goal(s): To develop a new approach to correct artifacts in multidimensional MR Fingerprinting (mdMRF) for simultaneous relaxation and diffusion quantification, that obviates cardiac gating, motion compensation, navigators, or data removal.

Approach: Modeling potential phase errors using phase offset and phase dispersion during dictionary generation, then quantifying and correcting measured phase errors in dictionary matching.

Results: The proposed approach significantly mitigates artifacts in mdMRF diffusion parameter mapping.

Impact: Phase error-induced artifacts due to physiological motion, bulk motion, and eddy currents is a key limitation in diffusion MRI. We develop an approach to improve robustness and efficiency of artifact correction in multidimensional MR Fingerprinting for relaxation and diffusion mapping.

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