Thijs Dhollander1, 2, Louise Emsell1, 3, Wim Van Hecke1, 3, Frederik Maes1, 2, Stefan Sunaert1, 3, Paul Suetens1, 2
1Medical Imaging Research Center (MIRC), K.U.Leuven, Leuven, Belgium; 2Department of Electrical Engineering (ESAT), K.U.Leuven, Leuven, Belgium; 3Department of Radiology, University Hospitals of the K.U.Leuven, Leuven, Belgium
Track-density imaging (TDI) is a recently proposed technique to achieve super-resolution from diffusion weighted imaging datasets, by performing massive fiber tracking and counting the tracks in each voxel of a high resolution grid. In this work, the effect of noise in the data on the final TDI is investigated. The findings indicate that caution is needed: many discovered patterns of structures might mostly be caused by noise rather than true anatomy, although they look plausible and do not resemble the traditional impression of noise. Tools such as bootstrapping, combined with certain maps can highlight regions where caution is due.