Matthew Schmid

Matthew Schmid
Senior Medical Physicist

MSc (U of Saskatchewan)

Office: BC Cancer Agency, CSI, Kelowna

Overview of research

Monte Carlo Techniques

Monte Carlo (MC) techniques are used to predict the radiation doses delivered to patients by clinical radiotherapy beams. The MC method refers to a method of calculating dose distributions by simulating the random processes involved in the deposition of radiation dose. This provides a level of accuracy not presently achievable by conventional means.

The accuracy to which patient dose distributions can be calculated depends on the degree to which the machine model used by the MC calculation system matches the clinical system. This is determined by measuring delivered dose distributions and comparing them with the calculations. Research interests here include developing quantitative tools for optimizing this process.

In a clinical environment where a number of treatment machines are available, it is impractical to build separate MC models for each machine. This necessitates that the clinical beams be matched to one another. Various machine parameters are adjusted in order to accomplish this. We are interested in defining processes used to adjust the machine parameters to align the measured beam output as closely as possible to the MC beam calculations and/or the measured output from other machines.


HDR Brachytherapy is under development at CSI. I am interested in investigations aimed at: improving the accuracy of dose calculations for brachytherapy (e.g. correcting for the influence of tissue heterogeneities) incorporating advanced imaging technologies into brachytherapy dose calculations, for example, 3D ultrasound, MRI, and PET improving optimization methods for intracavitary applications incorporating biological modeling into brachytherapy optimization and dose calculation algorithms developing new brachytherapy applicators