Our research group works on a targeted, minimally-invasive light-activated cancer treatment called Photodynamic Therapy (PDT). To assist in predicting treatment outcomes, we have created the fastest open-source CPU-based simulator, as well as the only existing GPU and FPGA-accelerated implementations of the code. The project will involve creating an interactive 3D graphical front-end for setting up treatment scenarios (placing multiple light sources within the area) and evaluating outcomes (light dose delivered to the target tumour vs. surrounding tissue). The project uses C++ and Tcl, with the open-source Visualization Toolkit (VTK/ www.vtk.org) library for 3D rendering. We have access to actual (anonymized) patient data including MRI/CT images for the purpose. The project is highly visual, and has the potential to impact upcoming clinical trials if done well.
A GUI that allows one to place light probes with mouse clicks / dialog boxes, and visualize where the light sources are in 3D space. If time permits, some additional output visualization options (of the light density results that come back from the simulator) could also be added.
ECE student with strong programming skills. Knowledge of C++ essential, knowledge of Tcl an asset.
Associate Professor, Computer Engineering
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