CBCT Dose Reduction with Generative AI

Ivy Chan, Adrian Thummerer, Guillaume Landry, Christopher Kurz
Feb 29, 2024

In this project we aim at simultaneously correcting CBCT scatter artefacts and undersampling artefacts by using modern AI methods such as adversarial and contrastive learning.

Minimum imaging dose for deep learning-based pelvic synthetic computed tomography generation from cone beam images

Feasibility of CycleGAN enhanced low dose CBCT imaging for prostate radiotherapy dose calculation

Ivy Chan
Ivy Chan
Doctoral Student

My PhD project is on AI-based low dose CBCT.

Adrian Thummerer
Adrian Thummerer
Post Doctoral Researcher

My research interests include AI for imaging and adaptive radiotherapy.

Guillaume Landry
Guillaume Landry
Professor of Image Guided Radiation Therapy

My research interests include image guidance and artificial intelligence.

Christopher Kurz
Christopher Kurz
Group Leader in MR Guided Radiation Therapy

My research interests include MRgRT and CBCT imaging.