M-Lab: Biomedical imaging and processing
Application of image and signal processing to medical challenges.
Impact and recognition
- Royal Society Summer Science Exhibition
- Two IET Innovation Awards
- Rotblat Medal for most cited research paper published by Physics in Medicine and Biology.
- Quantitative radiomics in lung cancer treatment planning and analysis
- Quantify metabolic activity using hyperpolarized [1-13C] and/or 1H MR Spectroscopy
- Cancer detection and characterization based on multi-parametric MRI
- Polarisation-Sensitive Optical Tomography
- Machine learning and virtual clinical trials in digital mammography
- Tomographic imaging for proton beam radiotherapy
- Dose and image guided brachytherapy for gynaecological and prostate cancer treatment
- Non-contact optical imaging for medical imaging acquisition.
- Cancer Research UK Programme (2013-2018) “OPTIMAM2: Optimisation of breast cancer detection using digital X-ray technology” – Wells
- Wellcome Fellowship (2017-2021) “Optical characterisation of epithelial tissue function and metabolism for early cancer diagnosis and treatment monitoring” – Florescu
- EPSRC project: (2018-2019) “Novel image reconstruction techniques with application to proton radiotherapy for optimisation of cancer treatment” – Dikaios.
Distinctive approach and achievements
- Optimisation of breast cancer screening methods by Virtual Clinical Trials
- Patented novel image reconstruction approach for proton beam imaging
- Developed a generalised reconstruction algorithm for Optical Tomography and advanced CT and SPECT
- 4D image reconstruction using commercial off-the-shelf optical imaging technology
- Developed candidate imaging biomarker for lung function
- Developed national guidelines for image guided radiotherapy for breast cancer
- Strong collaboration with the National Physical Laboratory (NPL).
- Engage with partners to “roll out” research with impact – NPL, Royal Surrey County Hospital, Alliance Medical Limited, Elekta Ltd, Institute of Cancer Research
- Develop OPTIMAM collaboration to apply virtual trials methodology
- Evaluate polarisation sensitive optical tomograph and apply to set of exemplar applications
- Develop methodology for standardisation of MR guided radiotherapy
- Evaluate imaging biomarkers for lung cancer
- Develop imaging synergies with Vet School/vHive.