Author profile
Département de Physique, Université de Montréal
To develop and evaluate a data-driven strategy that optimally combines the full set of virtual monoenergetic images (VMIs) from dual-energy CT to construct an optimal image pair for estimating electron density and proton stopping power ratio (SPR), and to com...
This study aims at addressing key concepts of radiation dosimetry in the presence of a magnetic field as a complement to the AAPM TG-351 reference dosimetry protocol for radiotherapy guided by magnetic resonance imaging (MRgRT).
Adaptive radiotherapy (ART) requires accurate daily volumetric imaging, yet cone-beam CT (CBCT) is fundamentally limited by X-ray scatter, leading to degraded contrast, CT number inaccuracy, and reduced reliability of automated segmentation. These limitations...
To compare different dual-energy cone-beam CT (DE-CBCT) configurations for the Varian HyperSight system via relative electron density (ED) and effective atomic number (EAN) quantification, as well as contrast improvement.
Deep learning dose prediction (DP) models rapidly predict radiotherapy dose distributions, addressing critical time constraints in adaptive radiotherapy (ART). Recent patient-specific (PS) approaches fine-tune models on individual initial plans for highly tai...