© University of Kent - Contact | Feedback | Legal
The University of Kent, Canterbury, Kent, CT2 7NZ, T +44 (0)1227 764000
Neurosciences and medical image computing group
The group pursues research on the development of new algorithms and tools for the advanced processing of medical and biological images. Topics of interest are co-registration of medical images, image reconstruction, multi-modal imaging, algorithm based on energy features for noise reduction using wavelets, automatic segmentation of invertebrate neuroanatomical images, and 3-D analysis of human cortical folding patterns and visualization.
In addition to this research, the Neurosciences and Medical Image Computing Group runs the MSc programme in BioMedical Imaging (BMI). The course runs in the framework of the Centre for BioMedical Informatics (CBMI) and is coordinated by the School of Biosciences, with contributions from three other schools at the University of Kent: School of Computing, School of Physical Sciences and the Institute of Mathematics and Statistics and Actuarial Science. It also includes strong external contributions, particularly from King's College, London, and the East Kent Hospitals NHS Trust. The schools involved have active research groups in different aspects of biomedical imaging, particularly in optical imaging, MRI, positron emission tomography, and in the application of computational and mathematical techniques to biomedical imaging. It is also supported by several companies including GE and Pfizer.
Group members
Alan Colchester, Professor of Medical Image Computing and Clinical Neurosciences. He is a Consultant Neurologist at Guy's & St. Thomas's and in East Kent. His research interests include diagnosis of CJD, the origin of BSE, the folding pattern of the cerebral cortex and co-registration of MRI and post-mortem pathology images in individual patients as well as segmentation and registration methodology. He was Chairman of the Management Board of the prestigious MICCAI (Medical Image Computing and Computer Assisted Intervention) conference series from 1999-2007.
Patrick Pullicino is Professor of Clinical Neuroscience and Consultant Neurologist in the East Kent Hospitals Trust. His research expertise is centred on cerebrovascular disease including MRI and ultrasound imaging. He was recently a Principal Investigator in a US National Institutes of Health research programme and continues this work in the UK.
Ali Hojjat, Lecturer, works on biomedical image analysis, particularly segmentation and classification of biomedical images. His projects include diagnosis of vCJD and sCJD from MRI scans, application of wavelet for noise reduction, segmentation and classification of mammograms, and analysis of pulmonary images. He is a member of the programme committee of the Medical Image Understanding and Analysis Conference.