Dr. Archambault is a FRQ-S Junior 2 Research Scholar and a radiation physicist with expertise in medical physics, radiation oncology, and medical imaging. He joined the CHU de Québec in 2010 after a postdoctoral fellowship in the division of radiation oncology at the MD Anderson Cancer Center and became a professor in the department of physics, engineering physics, and optics at Laval University in 2013. Hi work focuses on developing new instruments and novel algorithms to make radiation treatments more efficient. His work has been recognized on multiple occasions by the scientific community. Since 2012, he has received the Sylvia Fedoruk prize twice from the Canadian Organization of Medical Physicists (COMP) annually acknowledging the best scientific publication on medical physics by Canadian authors.
Improving the efficiency of radiation treatments
The success of a radiation treatment depends on our ability to focus a high dose of radiation on a tumor target while sparing surrounding tissues. To this end, the complexity of radiation treatment delivery has tremendously increased in recent years, and new tools are required to rapidly and accurately monitor radiation dose delivery. Using materials that emit visible light when irradiated, Dr. Archambault’s team has developed new types radiation dosimeters such as one of the first time-resolved 3D radiation dose detectors. These innovative tools are uniquely positioned to address the challenges of modern radiation treatments (e.g. delivery in the presence of strong magnetic fields) and offer a new way of studying the factors that limit the efficiency of radiation treatments such as anatomical changes.
A second aspect of the research is the development of smart algorithms that automatically analyze data and images produced during radiation treatments to guarantee accurate delivery. Thus, building such a virtual safety net can complement and support the expertise of healthcare professionals to guarantee that every cancer patient treated with radiotherapy receives the best possible treatment. Using machine learning, these algorithms can even predict which patients are likely to require an adaptation of their treatment plan, thus opening new possibilities in personalized radiotherapy.
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Direct in-water radiation dose measurements using Cherenkov emission corrected signals from polarization imaging for a clinical radiotherapy applicationJournal Article
Sci Rep, 12 (1), 2022.
Accurate dose measurements using Cherenkov emission polarization imagingJournal Article
Med Phys, 2022.
On the use of polychromatic cameras for high spatial resolution spectral dose measurementsJournal Article
Phys Med Biol, 67 (11), 2022.
Advantages of TRUS-based delineation for high-dose-rate prostate brachytherapy planningJournal Article
J Contemp Brachytherapy, 14 (1), 2022.
On the proper use of structural similarity for the robust evaluation of medical image synthesis modelsJournal Article
Med Phys, 49 (4), 2022.
Recent Advances and Clinical Applications of Plastic Scintillators in the Field of Radiation TherapyBook Chapter
M, Hamel (Ed.): Plastic Scintillators: Chemistry and Applications (Topics in Applied Physics, vol 140), pp. 425-460, Cham, Springer International Publishing, 2021.
On the use of machine learning methods for mPSD calibration in HDR brachytherapyJournal Article
Phys Med, 91 , 2021.
Ionizing radiation mediates dose dependant effects affecting the healing kinetics of wounds created on acute and late irradiated skinJournal Article
Surgeries (Basel), 2 (1), 2021.
External validation of a hidden Markov model for gamma-based classification of anatomical changes in lung cancer patients using EPID dosimetryJournal Article
Med Phys, 47 (10), 2020.
Dosimetric performance of a multipoint plastic scintillator dosimeter as a tool for real-time source tracking in high dose rate Ir brachytherapyJournal Article
Med Phys, 47 (9), 2020.
- Engineering bioactive dressings from mesenchymal cells to enhance healing of irradiated skin wounds, from 2022-04-01 to 2027-03-31
- New tools and method for monitoring ionizing radiation delivery in medical physics, from 2018-04-01 to 2023-03-31
- NSERC CREATE in Responsible Health and Healthcare Data Science, from 2019-09-01 to 2026-08-31
Recently finished projects
- Développement d'avantages compétitifs pour la plateforme de dosimétrie à scintillation, from 2021-01-06 to 2021-12-31
- Développement d'un système de dosimétrie à scintillation multipoints, from 2019-03-18 to 2021-08-14
- Étude de marché - Un dosimètre plan pour le contrôle de qualité en radiothérapie, from 2021-02-01 to 2022-01-31
- Une radiothérapie plus efficace par un processus évolutif et adaptatif, from 2016-07-01 to 2020-06-30