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Purpose: Previously-developed Voxel Spread Function (VSF) method (Yablonskiy,et al, MRM, 2013;70:1283) provides means to correct artifacts induced bymacroscopic magnetic field inhomogeneities in the images obtained bymulti-Gradient-Recalled-Echo (mGRE) techniques. The goal of this study is todevelop a library-driven approach for fast VSF implementation. Methods: The VSFapproach describes the contribution of the magnetic field inhomogeneity effectson the mGRE signal decay in terms of the F-function calculated from mGRE phaseand magnitude images. A pre-calculated library accounting for a variety ofbackground field gradients caused by magnetic field inhomogeneities was usedherein to speed up calculation of the F-function and to generate quantitativeR2* maps from the mGRE data collected from two healthy volunteers. Results: Ascompared with direct calculation of the F-function based on a voxel-wiseapproach, the new library-driven method substantially reduces computationaltime from several hours to few minutes, while, at the same time, providingsimilar accuracy of R2* mapping. Conclusion: The new procedure proposed in thisstudy provides a fast post-processing algorithm that can be incorporated in thequantitative analysis of mGRE data to account for background fieldinhomogeneity artifacts, thus can facilitate the applications of mGRE-basedquantitative techniques in clinical practices.

Fast library-driven approach for implementation of the voxel spread function technique for correcting magnetic field inhomogeneity artifacts