Kevin received his BEng in Electronic Engineering from the University of Exeter in 1993. He graduated Master of Science in Computation (MSc) from the University of Oxford, Programming Research Group a year later.
He then embarked on a career in industry holding various positions in research and development over a period of six years, working in medical imaging, computer vision, and industrial inspection. During this time he attained chartered engineer status (CEng) and corporate membership of the Institution of Electrical Engineers (MIEE), and the Institution of Engineers of Ireland (MIEI).
In 2005 he completed his PhD with the Vision Systems Group at Dublin City University, where he now works as a post-doctoral researcher, applying advanced image processing techniques to complex problems in the field of medical image analysis and visualisation.
Primary Research Areas
Research interests include medical image analysis, computer and machine vision, mathematical morphology, numerical methods, and digital signal processing.
Research topics have addressed the automated and semi-automated analysis of MRI data generated by two emerging classes of MR imaging protocol: MRCP and WB-MRI. Also of interest is work using X-ray CT data for virtual colonoscopy.
MRCP (2001 to 2005): magnetic resonance cholangiopancreatography is used in the examination of the biliary tree and pancreatic duct. The low resolution and poor SNR typical of MRCP data presents particular challenges for the automated analysis of this class of image.
WB-MRI (2004 to 2005): whole body magnetic resonance imaging presents the opportunity to analyse gross body characteristics in a rigourous fashion. Main strands of work to date in this area have examined the questions of body fat content and red/yellow bone marrow distributions.
CAD CTC (2005 to 2006): computer assisted diagnosis computed tomography colonography: X-ray CT examinations of the abdomen are used to perform virtual colonoscopy (VC), as a minimally invasive alternative to conventional colonoscopy (CC). The ultimate goal is to facilitate effective mass screening for colorectal cancer.