Abstract #1128

Towards accurate spinal cord morphometry with in situ grid phantom calibrated gradient non-linearity correction

Joseph Allan Borrello^1,2,3, Joo-won Kim^2,4, Mootaz Eldib^2,4, and Junqian Xu^2,4,5

¹Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States, ²Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States, ³Mount Sinai Institute of Technology, Icahn School of Medicine at Mount Sinai, New York, NY, United States, ⁴Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States, ⁵Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, United States

Spinal cord cross sectional area (SCCSA) holds promise as a biomarker of neurological disorders. However, the large FOVs required to obtain SCCSA from a large portions of the spinal cord are accompanied by significant spatial distortions due to gradient nonlinearity. While MRI vendors supply spatial unwarping algorithms, site-specific variations in the gradient linearity are present, which affects the reproducibility of longitudinal and multi-site studies. We have fabricated an in situ phantom designed to provide a spatial point of reference, in conjunction with numerically optimizing the unwarping with measurements at two table positions, to provide scanner-specific gradient non-linearity unwarping.

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