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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- Bernelin, Thibault MathieuDoctoral studentthibault.bernelin.1@ulaval.ca
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Development of a novel multi-point plastic scintillation detector with a single optical transmission line for radiation dose measurement
Journal ArticlePhys Med Biol, 57 (21), 2012.
Comment on 'Plastic scintillation dosimetry: comparison of three solutions for the Cerenkov challenge'
Journal ArticlePhys Med Biol, 57 (11), 2012.
A new water-equivalent 2D plastic scintillation detectors array for the dosimetry of megavoltage energy photon beams in radiation therapy
Journal ArticleMed Phys, 38 (12), 2011.
Technical note: removing the stem effect when performing Ir-192 HDR brachytherapy in vivo dosimetry using plastic scintillation detectors: a relevant and necessary step
Journal ArticleMed Phys, 38 (4), 2011.
Spectral method for the correction of the Cerenkov light effect in plastic scintillation detectors: a comparison study of calibration procedures and validation in Cerenkov light-dominated situations
Journal ArticleMed Phys, 38 (4), 2011.
Technical note: determining regions of interest for CCD camera-based fiber optic luminescence dosimetry by examining signal-to-noise ratio
Journal ArticleMed Phys, 38 (3), 2011.
Simulation of the precision limits of plastic scintillation detectors using optimal component selection
Journal ArticleMed Phys, 37 (2), 2010.
Measuring output factors of small fields formed by collimator jaws and multileaf collimator using plastic scintillation detectors
Journal ArticleMed Phys, 37 (10), 2010.
Toward a real-time in vivo dosimetry system using plastic scintillation detectors
Journal ArticleInt J Radiat Oncol Biol Phys, 78 (1), 2010.
Determination of average LET of therapeutic proton beams using Al2O3:C optically stimulated luminescence (OSL) detectors
Journal ArticlePhys Med Biol, 55 (17), 2010.
Active projects
- 2SHARP:Two Fractions Study of Hypofractionated Ablative Radiotherapy for Prostate Cancer. , from 2024-06-19 to 2025-03-31
- Engineering bioactive dressings from mesenchymal cells to enhance healing of irradiated skin wounds, from 2022-04-01 to 2027-03-31
- Expanding the boundaries of scintillation dosimetry with data science, signal processing and innovative design, from 2024-04-01 to 2029-03-31
- NSERC CREATE in Responsible Health and Healthcare Data Science, from 2019-09-01 to 2026-08-31
- Propulsion d’une plateforme de dosimétrie à scintillation de pointe vers de nouvelles applications à fort potentiel innovant et commercial, from 2022-06-27 to 2024-11-25
- Scale-up and validation of personalized outcome prediction model for newly diagnosed prostate cancer patients by integrating clinicopathological data and multi-task artificial , from 2024-06-17 to 2025-06-16
- Validation clinique de l'Hyperscint MD, from 2023-10-18 to 2024-10-17
Recently finished projects
- New tools and method for monitoring ionizing radiation delivery in medical physics, from 2018-04-01 to 2024-03-31