Mr Craig Prest SimVis Research Group Department of Computer Science c.prest @ hull.ac.uk Tel: +44 (0)1482 466348 Fax: +44 (0)1482 466666

Background

I am currently a postgraduate researcher for the computer science department in the University of Hull. I graduated from the University of Teesside in summer 2002 with a BEng (Hons) in Computer Engineering and Microelectronics. I have a strong background in physics and mathematics which is gained through both education and personal interest. I also have a keen interest in robotics, embedded systems and electronics.

In my free time, should I find any, I prefer to be covered in mud throwing myself down hills on my mountain bike. I also enjoy pretty much any racquet sports and generally keeping fit. But I do spend a lot of time locked in my room making new gadgets…

Research Interests

My doctoral research area is medical image analysis. I am currently working on a generic framework for automatic structure extraction from medical images. This will provide the ability to quantitatively measure volumes, mass motion etc. The aim is to make the structure extraction automatic, working from a dedicated knowledge base which is built up in a training stage. The new technique should allow fast accurate and repeatable image analysis to aid in the diagnosis and treatment of a variety of medical problems.In this postgraduate position in the university, I am able to act as a demonstrator to undergraduate students. For the past 2 years I have presented a digital design project to second year BEng Electronics students. The projects are varied but include a detailed design stage, with simulation and implementation within the Max Plus2 software. Physical testing of the designs is carried out using an FPGA chips on a purpose built development board. I am also fortunate enough to have the opportunity to teach children from the local community. I take a class of 10 – 15 gifted year 9 pupils and teach maths, after school, in the lead up to their SATs exams. A very fulfilling role.

Recent Publications

Automated left ventricular cardiac MRI segmentation, quantification and visualization using a radial-ray approach. C. Prest, R. Phillips, N. Nikitin, C.M. Langton, J.G. Cleland, Computer Assisted Radiology and Surgery (CARS), June 23-26 2004, pp 1120-5.