Medical Physics Research
2025
A neural network to remove megavoltage scatter artifacts from diagnostic images for markerless tumor tracking.
PythonPyTorchOpenCVNeural Networks
As one of eight recipients of a funded summer research fellowship across all of Loyola, I developed a novel neural network architecture to remove megavoltage (MV) scatter artifacts from MVkV medical diagnostic images.
The goal was to advance markerless tumor tracking by enabling clearer visualization and improved accuracy of anatomical structures crucial for radiotherapy.
Highlights
- One of 8 recipients of a funded summer research fellowship across all of Loyola.
- Improved radiotherapy accuracy through clearer anatomical visualization.