Probabilistic Framework for Optical Image Reconstruction

Project completed 2013.

Supervisors:
Dr Iain Styles, School of Computer Science
Dr Hamid Dehghani, School of Computer Science
Professor Ela Claridge, School of Computer Science
Professor Jon Frampton, Institute of Cancer and Genomic Sciences

This project aims to address the problem of image reconstruction in optical imaging through the use of a probabilistic formulation of the image reconstruction process. Delivery will take advantage of previously acquired information such as the accuracy of measured physical parameters in this process to develop a technique that will be robust to noise and provide a reliability measure to aid image interpretation.

The reconstruction method will be applied to two current optical imaging projects at the University of Birmingham: retinal imaging and bioluminescence imaging. The retinal imaging project will aim to localise and quantify the presence of a number of chromophores within the retina using multi-spectral imaging. The bioluminescence imaging project will aim to localise and quantify the presence of biomarkers used to tag particular features of interest. These projects may be applied to the analysis of clinical data and experimental design optimisation efforts respectively.

Link to ethesis: http://etheses.bham.ac.uk/5876/