At 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.
About us
RTIC is a multi-disciplinary team, made up of physicists, computer scientists, and engineersÌýat Ïã¸ÛÁùºÏ²Ê. The team is composed of academics, postdoctoral researchers, PhD and MSc students from the Ïã¸ÛÁùºÏ²Ê Department of Medical Physics. We have UK-wide collaborations with staff at Ïã¸ÛÁùºÏ²ÊH, Kings College London and the National Physics Laboratory.Ìý
RTIC is affiliated with the Centre for Medical Image Computing (CMIC), the Proton and Advanced Radiotherapy (PART) group and the Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS) at Ïã¸ÛÁùºÏ²Ê.
Projects
- Modelling intra- and inter-fractional anatomical changes for planning, guiding, and monitoring radiotherapy treatment of lung and H&N patientsÌý
- Developing adaptive radiotherapy guidelines for UK centers based on image guidance techniques
- Image analysis for disease modelling and investigation of dose-outcome relationships in patients with Radiation-Induced Lung Damage (RILD)
- Building a safe and reliable data sharing platform for radiotherapy imaging
- Developing low-rank based motion model based on con-beam CT projection images as well as methodology to integrated motion fitting, surrogate optimization and image reconstruction
- Improve the accuracy of patient dose information using MC techniques, enabling in this way accurate risk modelling and prediction of radiation induced second cancers for paediatric patientsÌý
- 3D-Printed phantoms for quality assurance in paediatric radiotherapy
Software projects
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: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:SuPReMo:ÌýSurrogate Parametrised Respiratory Motion Modelling
Implementation of the unified motion modelling and image registration framework.Project page:Ìý
Publications
- View our publications
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