Department of Engineering / Profiles / Professor Graham Treece

Department of Engineering

Professor Graham Treece


Graham Treece

Professor of Information Engineering

Academic Division: Information Engineering

Research group: Machine Intelligence

Telephone: +44 1223 3 39707


Personal website

Research interests

My interests are primarily in medical image analysis and visualisation, with a particular emphasis on developing engineering techniques for specific clinical problems tailored to the physical properties of the imaging system. I have been involved in developing Cortical Bone Mapping: the accurate assessment of bone and joints in Computed Tomography (CT) data, and RMAR: a technique to reduce artefacts due to metal in CT. I also work on morphological methods to reduce general image noise, in particular the Bitonic Filter. Previous work has included freehand 3D ultrasound data, ultrasound elastography (stiffness measurement), and Regularised Marching Tetrahedra for accurate surface extraction from sampled data. I support multiple software platforms for implementing all these technologies, most notably Stradwin for medical image acquisition, visualisation and analysis.

Strategic themes


All my activities are in this theme, within which I am topic leader for the sub-theme of biomedical engineering.

Other positions