Impact of DWI denoising on Track-Density Imaging

Pierrick Coupé (1) , Olivier Périot (2, 3) , Jose Vicente Manjon (4) , Bassem Hiba (5) , Michèle Allard (2, 3)

1 PICTURA - Patch-based processing for medical and natural images
2 INCIA - Institut de Neurosciences cognitives et intégratives d'Aquitaine
3 CHU Bordeaux
4 ITACA
5 CRMSB - Centre de résonance magnétique des systèmes biologiques

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.

Domains: Medical Imaging

Pierrick Coupé, Olivier Périot, Jose Vicente Manjon, Bassem Hiba, Michèle Allard. Impact of DWI denoising on Track-Density Imaging. Organization for Human Brain Mapping 2014 Annual Meeting, Jun 2014, Germany. ⟨hal-00961150⟩