Project completed in 2015.
Dr Hamid Dehghani, School of Computer Science
Dr Andrew Filer, Institute of Inflammation and Ageing
Dr Iain Styles, School of Computer Science
RA is an autoimmune disease that affects joint functionality. An optimal treatment outcome and a better disease management can be achieved by making an early diagnosis. Optical imaging is a diagnosis modality that holds great potential due to its sensitivity to key biomarkers. We are developing a novel multispectral optical imaging system that allows a direct reconstruction of chromophore concentrations such as oxygenated and deoxygenated haemoglobin. Multispectral imaging provides increased information content and is expected to improve the signal to noise ratio with an expected corresponding increase in achievable sensitivity for RA disease diagnosis when compared with the single wavelength measurements used in previous studies. Furthermore, the ability to quantitatively image tissue oxygenation means that hypoxia, which has been shown to be an important biomarker for early RA, can be directly measured.