Prestigious IET Innovation Award for CVSSP

Thursday 3 January 2013

This year, one of the Medical Imaging research students in CVSSP, Ms Rangika Abeygunasekera submitted an application to the IET Innovations Awards scheme entitled ‘A Motion Prediction and Modelling Framework for Reducing the Planning Target Volume Margin in External Beam Radiotherapy’, which has won the Software Design category, beating competition from other finalists including EDF Energy, Nestle, Tesco and the University of Liverpool.

The judging panel commented 'Designing a strategy to apply the right radiation dosage to the tumour cells without affecting healthy cells is pertinent to successful oncological treatments. This is difficult to achieve if the target moves due to involuntary motion. The innovation here was not only the use of software to predict the target position, but also to create an extensible framework to integrate new, improved methods for targeting the radiation dosage. Thereby, allowing the designed treatment to be carried out reliably'

This award recognises the framework developed at Surrey and the state-of-the-art performance achieved with tumour motion prediction developed based on Kernel Density Estimation and Canononical Correlation. It recognises the research being carried out at the Centre for Vision, Speech and Signal Processing and the developing work in this area led by Dr Kevin Wells, and including the key contributions from Dr Emma Lewis, Majdi Alnowami and Rangika Abeygunasekera.