CHU de Québec - Université Laval

The high modulation and spatial complexity of IMRT/VMAT treatment plans motivates the use of patient-specific quality assurance (QA) to verify accurate dose delivery. This study aims to enhance the interpretability of patient-specific QA by adding spatially a...

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...

To develop an optical detector for daily quality assurance (QA) of the 80 multileaf collimator (MLC) leaf pairs of an Elekta Unity MR-LINAC.

Novel GPU-based multicriteria optimization (gMCO) for high-dose-rate gynecological brachytherapy (GYN-BT) generates large plan pools satisfying EMBRACE-II dosimetric constraints (Pötter et al., 2018). Differentiating plans with comparable dosimetry but potent...

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...