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Abstract #1396

Improving Apparent Diffusion Coefficient Accuracy on a Compact 3T MRI Scanner using Gradient Non-linearity Correction

Ashley T Tao1, Yunhong Shu1, Ek T Tan2, Joshua D Trzasko1, Shengzhen Tao1, Paul Weavers1, John III Huston1, and Matt A Bernstein1

1Radiology, Mayo Clinic, Rochester, MN, United States, 2GE Global Research, Niskayuna, NY, United States

Errors are introduced into apparent diffusion coefficient quantification of diffusion weighted imaging (DWI) due to imperfect gradient linearity. A post-processing gradient non-linearity (GNL) correction algorithm can alleviate this problem on a conventional whole-body MR scanner equipped with a symmetrical gradient system. A compact 3T (C3T) scanner with a high-performance gradient was recently developed and exhibits more complex GNL than conventional whole-body gradients due to its asymmetric design. Here, we test the robustness of this GNL correction on the C3T using phantom and in-vivo experiments, and demonstrated improved accuracy of quantitative maps for DWI on the C3T using this algorithm.

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