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Abstract #2087

Variability Analyses of Track Density Imaging

Javier Urriola Yaksic1, Nyoman Dana Kurniawan1, Zhengyi Yang2, David C. Reutens1

1Centre for Advanced Imaging, The University of Queensland, Brisbane, Queensland, Australia; 2Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Queensland, Australia

Track density imaging (TDI) mapping method has been developed to dramatically increase the spatial resolution of diffusion-weighted imaging (DWI) data beyond the acquired resolution. However, it is not clear if TDI maps can be used to reliably to quantify differences in brain populations. This project aims to characterise short track TDI (stTDI) in terms of stability and reproducibility as a quantitative tool for group comparison of brain structures.