Author profile
CRCHU de Québec – Université Laval
Two-dimensional dosimetry for radiotherapy quality assurance commonly relies on planar detector arrays or radiochromic film. While these methods provide high spatial resolution, they are often time-consuming, single-use, and do not provide real-time feedback....
Dosimetric quality assurance (QA) is essential for treatment validation on the MR-linac. However, many conventional QA approaches are challenging in the presence of a magnetic field. In this study a plastic scintillator multi-point QA dosimeter array designed...
Measuring dose from small fields delivered by dedicated radiosurgery devices like the Gamma Knife can be challenging and time consuming. It usually required a combination of films and point detectors (diodes, micro-ion chamber). Our goal is to facilitate radi...
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...
Preclinical studies with small animals require precise control to yield conclusive results. Small animal irradiations differ from clinical irradiations and can push dose calculation algorithm to their limits: small volumes, small fields, superficial treatment...
With the recent introduction of clinical MR-Linac devices, there is an increased need for dose measurement techniques unaffected by magnetic fields. Polarized Cherenkov imaging is a luminescence-based dosimetry method potentially well suited for MR-Linac meas...
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...
Accurate dose measurement in ultra-high dose rate (UHDR) electron beams is essential for clinical quality assurance. Plastic scintillation detectors (PSDs) are promising candidates for UHDR dosimetry but must demonstrate radiation hardness and calibration sta...
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.