Computational Radiomics & Medical Physics
Quantitative features from CT, MRI and PET, linked to molecular and clinical outcomes.
What this centre does
Radiological images are quantitative data, not just pictures. This centre extracts computational features from CT, MRI, PET and other imaging and links them to molecular and clinical outcomes, alongside medical-physics work on imaging quality, dosimetry and treatment planning.
Methods
Radiomic feature extraction and harmonisation; deep learning on volumetric imaging; response assessment modelling; dosimetry and treatment-planning analysis.
Data inputs
Imaging from partner radiology providers under a data-sharing agreement; matched molecular and outcome data.
Outputs
Research-use imaging models; radiomic-molecular association studies; publications.
Funding route
Imaging AI grants; collaboration with partner imaging providers and radiation centres.
What has to be true first
A data-sharing agreement with an imaging partner is the gate. Without it this centre has no inputs at all.
Themes this centre carries
Work with this centre
The research centres collaborate with funders, sponsors, hospitals and academic groups. Tell us what you are working on and the enquiry is routed to the centre lead.
Contact the research office