Philippe Dionne

Restriction Spectrum Imaging (RSI) is a multi-compartment diffusion MRI model developed to enhance sensitivity to restricted diffusion associated with tumoral tissue, addressing known limitations of the apparent diffusion coefficient (ADC). Unlike ADC, which...

Deep learning (DL) is increasingly used to reduce acquisition times, increase signal-to-noise ratio (SNR) and spatial resolution in magnetic resonance imaging (MRI). However, the impact on SNR and resolution is not measured in a quality assurance program. Thi...

Apparent diffusion coefficient (ADC) is a widely used marker of tumor cellularity in diffusion MRI, but ADC values depend on b-value selection and are prone to reduced tumor conspicuity in the presence of edema. Restriction Spectrum Imaging (RSI) leverages mu...