Abstract #3461

High-resolution anatomical and diffusion-weighted imaging in peripheral nerves at 7 Tesla using quantitative Double-Echo in Steady-State

Bragi Sveinsson^1,2, Robert L Barry^1,2,3, Olivia Rowe^1,2, Jason Stockmann^1,2, Daniel J Park¹, Peter J Lally⁴, Matthew S Rosen^1,2,5, and Reza Sadjadi⁶

¹Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States, ²Radiology, Harvard Medical School, Boston, MA, United States, ³Harvard-Massachusetts Institute of Technology Health Sciences and Technology, Cambridge, MA, United States, ⁴Brain Sciences, Imperial College London, London, United Kingdom, ⁵Physics, Harvard University, Cambridge, MA, United States, ⁶Neurology, Massachusetts General Hospital, Boston, MA, United States

Research has suggested elevated diffusivity in nerves of subjects with peripheral nerve disease. Obtaining quantitative estimates of diffusivity at small scales within peripheral nerves could therefore provide important information about disease progression. However, diffusion weighted imaging at such small scales is challenging due to low signal to noise ratio (SNR) and distortion. Here, we demonstrate the feasibility of obtaining high-SNR, high-resolution, low-distortion anatomical images and quantitative diffusivity estimates in individual nerve fascicles with the quantitative Double-Echo in Steady-State sequence at 7 Tesla.

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