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.

Hôpital de l'Enfant-Jésus
1401, 18e rue
Québec, Québec
Canada G1J 1Z4

Latest news

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66 entries « 2 of 7 »

Cloutier E, Beaulieu L, Archambault L

Deformable scintillation dosimeter: II. Real-time simultaneous measurements of dose and tracking of deformation vector fields

Journal Article

Phys Med Biol, 66 (17), 2021.

Abstract | Links:

Beddar S, Tendler I, Therriault-Proulx F, Archambault L, Beaulieu L

Recent Advances and Clinical Applications of Plastic Scintillators in the Field of Radiation Therapy

Book Chapter

Hamel M (Ed.): Plastic Scintillators: Chemistry and Applications (Topics in Applied Physics, vol 140), pp. 425-460, Cham, Springer International Publishing, 2021.

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Linares Rosales HM, Couture G, Archambault L, Beddar S, Després P, Beaulieu L

On the use of machine learning methods for mPSD calibration in HDR brachytherapy

Journal Article

Phys Med, 91 , 2021.

Abstract | Links:

Diaz C, Hayward CJ, Safoine M, Paquette C, Langevin J, Galarneau J, Théberge V, Ruel J, Archambault L, Fradette J

Ionizing radiation mediates dose dependant effects affecting the healing kinetics of wounds created on acute and late irradiated skin

Journal Article

Surgeries (Basel), 2 (1), 2021.


Wolfs CJA, Varfalvy N, Canters RAM, Nijsten SMJJG, Hattu D, Archambault L, Verhaegen F

External validation of a hidden Markov model for gamma-based classification of anatomical changes in lung cancer patients using EPID dosimetry

Journal Article

Med Phys, 47 (10), 2020.

Abstract | Links:

Linares Rosales HM, Archambault L, Beddar S, Beaulieu L

Dosimetric performance of a multipoint plastic scintillator dosimeter as a tool for real-time source tracking in high dose rate 192 Ir brachytherapy

Journal Article

Med Phys, 47 (9), 2020.

Abstract | Links:

Rilling M, Allain G, Thibault S, Archambault L

Tomographic-based 3D scintillation dosimetry using a three-view plenoptic imaging system

Journal Article

Med Phys, 47 (8), 2020.

Abstract | Links:

Rilling M, Archambault L, Thibault S

Simulating imaging-based tomographic systems using optical design software for resolving 3D structures of translucent media

Journal Article

Appl Opt, 58 (22), 2019.

Abstract | Links:

Brouillard E, Chamula M, Lavoie C, Varfalvy N, Archambault L

Radiation Therapy-Induced Dysfunction in Cardiovascular Implantable Electronic Devices

Journal Article

Pract Radiat Oncol, 9 (4), 2019.

Abstract | Links:

Kroshko A, Morin O, Archambault L

Stochastic frontier analysis as knowledge-based model to improve sparing of organs-at-risk for VMAT-treated prostate cancer

Journal Article

Phys Med Biol, 64 (8), 2019.

Abstract | Links:

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Active projects

  • 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 2024-03-31
  • 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

Recently finished projects

  • Développement d'avantages compétitifs pour la plateforme de dosimétrie à scintillation, from 2021-01-06 to 2021-12-31
  • Étude de marché - Un dosimètre plan pour le contrôle de qualité en radiothérapie, from 2021-02-01 to 2022-01-31
Data provided by the Université Laval research projects registery