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Abstract #3988

Quantitative Comparison of Shim Algorithms for In Vivo 1H-MRS

Xiaodong Zhong1, Yevgeniya M. Lyubich2, Timothy DeVito3, Saurabh Shah4, Jack Knight-Scott2

1MR R&D Collaborations, Siemens Healthcare, Atlanta, GA, United States; 2Department of Radiology, Children's Healthcare of Atlanta, Atlanta, GA, United States; 3Siemens Canada Limited, London, Ontario, Canada; 4MR R&D Collaborations, Siemens Healthcare, Chicago, IL, United States

In this study, we examined the robustness of three automated shimming techniques for single-voxel spectroscopy at 3T: FASTESTMAP, GRESHIM, and a standard vendor-offered product. Quantitative results across multiple brain regions over twelve participants anterior and posterior cingulate, centruum semiovale, and temporal lobe along the sylvian fissure showed that FASTESTMAP and GRESHIM provided the robustness and reliability necessary for quantitative assessment of spectra, while the vendor-supplied shimming technique had the poorest performance. Our results show that FASTESTMAP and GRESHIM greatly improve the reliability of clinical spectroscopy