Van De Ville Dimitri

Biography

Their main research objective is to develop new methodologies for medical image processing. Most of their projects are related to neuroimaging, including functional magnetic resonance imaging (fMRI), laser Doppler imaging (LDI), and electroencephalography (EEG). Sophisticated tools in signal processing and statistics are required to fully exploit the potential of functional brain imaging data, which are usually large, complex, and noisy. Among those tools, the wavelet transform receives their  particular attention. Despite significant breakthroughs in this field, general-purpose wavelets have been used up to now, and significant gain can be expected by tailoring wavelets to the properties of the signals under investigation. For example, we study "activelets" that exploit the hemodynamic nature of the signal (such as the BOLD response in fMRI) and provide us with a more sparse representation (which is useful to derive stronger statistical measures).

Research Interest

Neurology