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Abstract #4390

Leveraging Voxel Spread Function approach to Improve R2* Mapping Accuracy at 7T MRI

Satya VVN Kothapalli1, Jullie Pan2, Florentin Paladi2, Talissa Altes2, and Dmitriy Yablonskiy1
1Radiology, Washington University in Saint Louis, Saint Louis, MO, United States, 2Radiology, University of Missouri Health Care, Columbia, MO, United States

Synopsis

Keywords: High-Field MRI, Artifacts, multi-gradient-recalled-echo, macroscopic field inhomogeneities, Voxel Spread Function, Ultra-high field MRI

Motivation: The macroscopic field inhomogeneities are proportional to the external magnetic field, poses significant challenges for quantifying the R2* from multi-gradient-recalled-echo (mGRE) MR sequences at 7T.

Goal(s): This study aiming to demonstrates the effectiveness of the voxel spread function (VSF) method in mitigating artifacts on R2* caused by these inhomogeneities.

Approach: Six healthy volunteers underwent MR scans at 7T (Terra Siemens). R2* values were obtained with and without VSF correction from both unfiltered and Hanning-filtered mGRE data.

Results: The results showed that VSF correction significantly reduced the overestimation of R2*, proving its utility in accurate estimation of quantitative MR metrics at 7T.

Impact: The voxel spread function (VSF) method shows great promise in correcting macroscopic magnetic field inhomogeneities in mGRE images, aiding in the accurate estimation of quantitative mGRE metrics such as R2* and myelin water fraction at ultra-high field MRI.

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Keywords