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
G0.440
Québec, Québec
Canada G1J 1Z4

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63 entries « 1 of 7 »

Kroshko A, Morin O, Archambault L

Knowledge-based planning algorithm for lung SBRT with robust Bayesian stochastic frontier analysis and missing data management

Journal Article

Med Phys, 2022.

Abstract | Links:

Lessard B, Larose F, Berthiaume F, Lambert-Girard S, Therriault-Proulx F, Archambault L

Development of an automated routine for the calibration of multi-point scintillation detectors for advanced dosimetry applications

Journal Article

J Phys Conf Ser, 2167 , 2022.

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Cloutier É, Beaulieu L, Archambault L

Direct in-water radiation dose measurements using Cherenkov emission corrected signals from polarization imaging for a clinical radiotherapy application

Journal Article

Sci Rep, 12 (1), 2022.

Abstract | Links:

Cloutier É, Archambault L, Beaulieu L

Accurate dose measurements using Cherenkov emission polarization imaging

Journal Article

Med Phys, 49 (8), 2022.

Abstract | Links:

Cloutier E, Cloutier E, Beaulieu L, Beaulieu L, Archambault L, Archambault L

On the use of polychromatic cameras for high spatial resolution spectral dose measurements

Journal Article

Phys Med Biol, 67 (11), 2022.

Abstract | Links:

Lavoie-Gagnon H, Martin AG, Poulin E, Archambault L, Pilote L, Foster W, Vigneault E, Carignan D, Lacroix F

Advantages of TRUS-based delineation for high-dose-rate prostate brachytherapy planning

Journal Article

J Contemp Brachytherapy, 14 (1), 2022.

Abstract | Links:

Gourdeau D, Duchesne S, Archambault L

On the proper use of structural similarity for the robust evaluation of medical image synthesis models

Journal Article

Med Phys, 49 (4), 2022.

Abstract | Links:

Cloutier E, Archambault L, Beaulieu L

Deformable scintillation dosimeter I: challenges and implementation using computer vision techniques

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:

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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 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
Data provided by the Université Laval research projects registery