Research Studentship in Analysis of Dynamic Medical Imagery
School of Computer Science and Electronic Systems
Kingston University

This collaborative project between the Computer Vision research 
group in the School of Computer Science and Electronic Systems and 
the School of Radiography seeks to combine expertise in computer 
vision and diagnostic radiography to analyse dynamic medical 
imagery of the deglutition (swallowing) mechanism acquired 
from video-fluoroscopy. The primary goal will be the development 
of segmentation algorithms for recovering dynamic surface 
or volumetric models of significant structures in X-ray 
video sequences. Visualisation and temporal modelling of normal 
and abnormal dynamic structures can be used to identify areas 
of dyskenesia (dysfunction) that aid diagnosis of nerve 
damage resulting from cerebro-vascular accident.

As well as graphical visualisation of results, this project 
is expected to draw upon and extend a number of 
state-of-the-art techniques from computer vision and image 
processing including active contours and surfaces, point 
distribution models and boundary and region extraction.

The successful candidate will be supported by a strong and 
experienced supervision team draw from both the Computer Vision 
Group and School of Radiography which enjoys particularly close ties 
with the nearby St Georges Hospital. The Computer Vision Group has 
developed its research expertise in areas are diverse as automated 
visual surveillance, cinematographic special effects, industrial 
inspection and remote sensing.

Research duties will involve:

* Investigation and development of machine vision and graphics 
algorithms.
* Programming of demonstration software in C/C++. 
* The dissemination of results and the promotion of the 
Schools' reputation through conference and journal publications. 
* Collaboration with industrial and academic partners associated 
with this project. Assisting in the development of grant 
applications for future projects.

Person Specification:

The candidate should have a first/upper second class degree in 
a mathematical, computer science or related discipline. While 
a radiography background is not excluded, the central focus on 
surface and volumetric dynamic modelling will require expertise 
in applying mathematical surface models and significant levels 
of programming. The post will involve collaboration with other 
members of the Computer Vision Group and with the School of 
Radiograpy as well as industrial and medical 
practitioners. 

Consequently, the candidate should be able to work well in a 
team, have well developed verbal and written communication skills, 
and be able to manage their time effectively given their wide range 
of responsibilities.

At present, the bursary is for £7060 per annum paid quarterly 
in advance.

For further information please contact:

Dr Graeme Jones
Reader in Computer Vision
School of Computer Science and Electronic Systems
Kingston University
Penrhyn Road
Kingston, Surrey
KT1 2EE

Telephone 0181 547 7669
Email [log in to unmask]
http://manx.king.ac.uk/research/


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