Impact of DWI denoising on Track-Density Imaging

Track-Density Imaging (TDI) has been proposed as super-resolution method for diffusion-weighted images (DWI). Based on fiber-tracking (FT), TDI enables to produce high-resolution white matter images. However, the sensitivity to noise of FT negatively impacts TDI accuracy and reproducibility. In this study, we analyzed whether the use of DWI denoising is able to improve TDI robustness and reproducibility.