Abstract #4722

Diffusion Time Dependence of SANDI Analysis using High Gradient Diffusion MRI Data

Tanxin Dong¹, Jie Song², Hong-Hsi Lee³, Qiyuan Tian^4,5, Susie Y. Huang^4,5,6, and Qiuyun Fan^4,5,7

¹Department of Intelligent Medical Engineering, Medical College, Tianjin University, Tianjin, China, ²Department of Network and Information, Tianjin Huanhu Hospital, Tianjin, China, ³Massachusetts General Hospital, Charlestown, MA, United States, ⁴Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, United States, ⁵Harvard Medical School, Boston, MA, United States, ⁶Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, United States, ⁷Department of Biomedical Engineering, College of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, China

Synopsis

High gradient diffusion MRI has recently been demonstrated to be useful in mapping gray matter microstructure, despite of a few caveats arising from the challenges in comprehensively modeling the complex tissue environments. One example was the assumption of impermeable membranes in the SANDI model and hence its limitation in the presence of water exchange depending on the diffusion time (Δ) used in the MR experiments. We found time-dependence in the signal decay in cortical regions for Δ=19ms~49ms, suggesting fast exchange effects, which might be the cause of the observed time-dependence of the fitting parameters using the standard SANDI model.

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