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Abstract #0513

Rapid implicit Spatio-Temporal Field Estimation and Correction for Diffusion MRI (D-FESTiVE)

Zachary Shah1, Daniel Abraham1, Nan Wang2, Congyu Liao2, Qiang Liu3,4, Lipeng Ning3,4, Yogesh Rathi3,4, Adam Kerr1,5, and Kawin Setsompop2
1Electrical Engineering, Stanford University, Stanford, CA, United States, 2Radiology, Stanford University, Stanford, CA, United States, 3Mass General Brigham, Boston, MA, United States, 4Harvard Medical School, Boston, MA, United States, 5Center for Neurobiological Imaging, Stanford University, Stanford, CA, United States

Synopsis

Keywords: Diffusion Acquisition, Diffusion Acquisition, Eddy Current Correction

Motivation: Spiral Diffusion MRI (dMRI) is limited by non-linear spatio-temporal field imperfections from eddy-currents, resulting in heavy blurring at high b-value and/or high resolution. NMR field probes accurately measure these imperfections, but require additional hardware, complexity, and cost.

Goal(s): Characterize and correct diffusion gradient induced field imperfections in a PGSE spiral-dMRI sequence.

Approach: Develop a rapid k-t calibration scan based on the FESTiVE algorithm to accurately map spatiotemporal eddy-currents from diffusion encoding in <10 seconds, and demonstrate effectiveness in spiral-dMRI reconstruction.

Results: Estimated spatiotemporal eddy-current fields from D-FESTiVE are in strong agreement with gold-standard field-probe estimates (<5% difference), resulting in nearly indistinguishable reconstructions.

Impact: We propose an alternative to field probes for eddy-current characterization in dMRI executable as a rapid pre-scan calibration. This will enable enhanced image reconstruction at high b-value without external hardware, enabling high-resolution fast imaging of brain connectivity and microstructure.

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Keywords