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Health research theme

The Health theme spans the technologies of biomedical image analysis, cloud-based and mobile health systems, health informatics, telemedicine and bioinformatics. It links research undertaken within different research groups, including Biomedical Image Computing, Digital Media for Healthcare, Component and Distributed Systems, Information Systems and Wireless Multimedia and Networks.

Examples of health related projects are shown below:

Vascular Quantitative Imaging

This collaborative project between Kingston University, Lausanne University Hospital and St George's Hospital concentrates on detecting, measuring and quantifying the vascular diseases using CT angiography.

Selected recent publications

Dehmeshki, Jamshid, Amin, Hamdan, Valdivieso, Manlio and Ye, Xujiong (2008) Segmentation of pulmonary nodules in thoracic CT scans: a region growing approach. IEEE Transactions on Medical Imaging, 27(4), pp. 467-80. ISSN (print) 0278-0062

Nikravanshalmani, A., Qanadli, S., Ellis, T., Crocker, M., Ebrahimdoost, F., Karamimohammadi, M.and Dehmeshki, J. (2011) Three-dimensional semi-automatic segmentation of intracranial aneurysms in CTA. In: The 10th IEEE International Conference on Information Technology and Applications in Biomedicine (ITAB 2010); 3-5 Nov 2010, Corfu, Greece. ISBN 9781424465590

Project Groups

Project Members

Bioinformatics Analysis of Crystallins

This collaborative project between Kingston University (computing and life science) and Wroclaw University of Technology (Poland) conducts bioinformatics analysis of eye lens proteins (crystallins) to gain insight about human cataract. Research focuses on their optical properties and aggregation process.

Selected recent publications

Primary sequence contribution to optical function of the eye lens, K. Mahendiran, C. Elie, J.-C. Nebel, A. Ryan and B.K. Pierscionek, Scientific Reports, 4, 5195, 2014.

Project Groups

Project Members

  • Dr J.C. Nebel
  • Dr Ali Ryan
  • Prof. Barbara Pierscionek
  • Ms Johanna Laibe
  • Prof. Malgorzata Kotulska - Wroclaw University of Technology (Poland)

Retinal Image Analysis

This collaborative project between Kingston University and St George's concentrates on analysing vessel shape and size in thousands of retinal fundus images using automated techniques developed within the group

Selected recent publications

Fraz, M.M., Welikala, R.A., Rudnicka, A.R., Owen, C.G., Strachan, D.P. and Barman, S.A. (2015)QUARTZ : QUantitative Analysis of Retinal Vessel Topology and size : an automated system for quantification of retinal vessels morphology. Expert Systems with Applications, 42(20), pp. 7221-7234. ISSN (print) 0957-4174

Fraz, M. M., Remagnino, P., Hoppe, A., Rudnicka, A. R., Whincup, P.H., Owen, C. G. and Barman, S.A. (2013) Quantification of blood vessel calibre in retinal images of multi-ethnic school children using a model based approach. Computerized Medical Imaging and Graphics, 37(1), pp. 48-60. ISSN (print) 1879-0771

Project Groups

Project Members

  • Dr Sarah Barman
  • Mr Mohamed Habib
  • Dr Chris Owen
  • Dr Alicja Rudnicka
  • Prof. David Strachan
  • Dr Roshan Welikala
Faculty of Science, Engineering and Computing
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