Abstract #4334

Evaluating Diffusion Kurtosis Imaging Precision at Varying Gradient Strength in High Spatial Resolution 3T MRI

Loxlan W Kasa¹, Terry Peters², Roy AM Haast³, and Ali R Khan⁴

¹School of Biomedical Engineering, Imaging Research Laboratories, Robarts Research Institute, Western University, LONDON, ON, Canada, ²Imaging Research Laboratories, Robarts Research Institute, School of Biomedical Engineering,,Department of Medical Biophysics,Departments of Medical Imaging, Western University, London, ON, Canada, ³Imaging Research Laboratories, Robarts Research Institute, Western University, London, ON, Canada, ⁴Imaging Research Laboratories, Robarts Research Institute, School of Biomedical Engineering, Department of Medical Biophysics, Western University, London, ON, Canada

Diffusion kurtosis imaging (DKI), an extension to diffusion tensor imaging (DTI), aims to improve quantification of the hindered/restricted diffusion pattern due to microstructural complexity in the brain. But in order to capture the non-Gaussian diffusion behaviour of water molecules in biological tissues, stronger gradients larger than those employed in standard diffusion weighted imaging (DWI) are required. Here, we explored the test-retest reliability of DKI derived metrics with respect to different gradient strength in a high spatial resolution dataset. It was observed that DKI precision was comparable between b-value=1000, 2000, 3000 s/mm² and b-value=1000 & 3000 s/mm² dataset.

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