Abstract #0689

Measuring time-dependent diffusion on a high-performance head-only gradient system at 3T: influence and correction of gradient nonlinearity

Erpeng Dai¹, Ante Zhu², Grant Yang^1,3, Kristin Quah^1,3, Ek T Tan⁴, Eric Fiveland², Thomas K Foo², and Jennifer A McNab¹

¹Department of Radiology, Stanford University, Stanford, CA, United States, ²GE Research, Niskayuna, NY, United States, ³Department of Electrical Engineering, Stanford University, Stanford, CA, United States, ⁴Department of Radiology and Imaging, Hospital For Special Surgery, New York, NY, United States

Synopsis

Keywords: Microstructure, Diffusion/other diffusion imaging techniques

Oscillating gradient spin echo (OGSE) sequence is an effective approach to measure time-dependent diffusion processes at short diffusion times. High-performance, head-only gradient systems open new opportunities for using OGSE to study time-dependent diffusion with both high b-values and oscillating frequencies, such as diffusion kurtosis imaging (DKI). One source of error that can be more problematic for the head-only gradients is gradient nonlinearity (GNL). Here, we measure the time dependence of diffusion tensor imaging (DTI)/DKI in human brains with OGSE on a head-only MAGNUS gradient and investigate the influence of GNL on the time dependence measures of diffusivity/kurtosis.

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