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Abstract #2891

Matching Error Evaluation in Magnetic Resonance Fingerprinting with a Fast Imaging with Steady Precession sequence using Bloch Equation Simulations with a Diffusion Propagator

Shota Hodono1, Yun Jiang2, Gregor Körzdörfer3,4, Naren Nallapareddy5, Vikas Gulani2, and Mark Griswold2

1Physics and Astronomy, Ohio Northern University, Ada, OH, United States, 2Radiology, Case Western Reserve University, Cleveland, OH, United States, 3Siemens Healthcare, Erlangen, Germany, 4Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany, 5Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States

The robustness of T1, T2 values derived from Magnetic Resonance Fingerprinting (MRF) is limited in certain situations because MRF dictionaries have in general not included apparent diffusion coefficients (ADC). In this study, the potential estimated T1, T2 errors due to the omission of diffusion were evaluated for the MRF-fast imaging with steady precession sequence. Dictionaries with ADC values were generated by using Bloch equations with a diffusion propagator. The generated signal evolutions with ADC were matched to those generated by Bloch equation simulations without ADC by employing a template-matching algorithm.

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