Abstract #0933

Improved spiral trajectory correction using the gradient impulse response function (GIRF) with application to MR Fingerprinting

Martin Berzl^1,2, Antoine Pfeil¹, Craig Meyer³, Adrienne Campbell-Washburn⁴, Gregor Körzdörfer¹, Mathias Nittka¹, Andreas Maier², and Josef Pfeuffer¹

¹Application Development, Siemens Healthcare, Erlangen, Germany, ²Pattern Recognition Lab, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Erlangen, Germany, ³Biomedical Engineering, University of Virginia, Charlottesville, VA, United States, ⁴Biochemistry and Biophysics Center, Division of Intramural Research, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, MD, United States

The purpose of this study is to evaluate different spiral trajectory prediction models - isotropic, Tan-Meyer and GIRF - to mitigate image artifacts for spiral MRI and improve accuracy of quantitative T1/T2 values for MR Fingerprinting. GIRF scan parameters were optimized to allow a total measurement time of only six minutes for a one-time calibration. GIRF similarly provided excellent results for vastly different trajectory types, varying in max. slew rate, gradient amplitude and number of interleaves, and showed some advantages against Tan-Meyer for trajectory designs with high k-space center slew rate, both for qualitative and quantitative results.

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