Sunnybrook Health Sciences Centre

Water calorimetry enables measurement of absolute absorbed dose to water, but its practical implementation depends strongly on vessel design and adequate isolation of the sensitive volume. This work presents the development and initial evaluation of a new par...

Magnetic resonance imaging quality assurance (MRI QA) currently relies on phantoms for characterizing image quality metrics. The growing prevalence of MRI-guided radiotherapy will increase the need for efficient and robust MRI QA. Using patient imaging for QA...

A robust and routine quality assurance (QA) program for multileaf collimators (MLCs) is essential for accurate external beam radiotherapy delivery. Since the initial implementation of MLC-equipped linear accelerators (LINACs) at our cancer centre, QA procedur...

Synthetic CT (sCT) provides the electron density information needed for MR-only treatment planning, eliminating CT-MR registration errors and patient burden reduction. There are hitherto no reliable methods for sCT of the abdomen due to respiratory motion, or...

Artificial intelligence (AI) is increasingly embedded across radiation medicine, with applications in clinical decision support, workflow efficiency, personalization of care, and quality assurance. Despite rapid technical advancement, there remains a critical...

This work describes the development of a flexible educational framework designed to address required curriculum and professional competencies for Radiation Oncology (RO) and Medical Physics (MP) residents implemented in two distinct clinical and academic envi...

Students and Trainees

Therapy Physics

To clinically deploy and prospectively evaluate a quantile random forest (QRF) - based “virtual” VMAT patient-specific QA (PSQA) decision-support tool designed to reduce measurement workload while maintaining patient safety.