At the RadioTherapy Image Computing group (RTIC) we develop advanced image processing methodologies for radiotherapy applications. Our overarching aim is to exploit medical imaging to enable more accurate and safer radiotherapy treatments.
Our group is affiliated with the Centre for Medical Image Computing (CMIC) and the Proton and Advanced Radiotherapy (PART) group at UCL.
We are involved in a wide range of projects, including:
Modelling respiratory motion for planning, guiding, and monitoring radiotherapy
Image-guided and adaptive radiotherapy
Image analysis for radiation-induced lung toxicities
Radiation-induced late effects in childhood cancer survivors
Data sharing platform for radiotherapy
CT-based imaging biomarkers
The RILD biomarkers project consists of set of image analysis tools to quantify radiation-induced lung damage (RILD) for academic research use.
Project page: https://github.com/CMIC-RT/RILD_biomarkers
cid-X: XCAT DVF post processing and inverse computation
Consistent and invertible deformation vector fields for a breathing anthropomorphic phantom: a post-processing framework for the XCAT phantom.
Project page: https://github.com/UCL/cid-X
SuPReMo: Surrogate Parametrised Respiratory Motion Modelling
Implementation of the unified motion modelling and image registration framework.
Project page: https://github.com/UCL/SuPReMo