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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/31987

Title: Dimensional analysis of blood vessel morphology using image processing techniques
Authors: Eustaquio-Martin, Almudena
Issue Date: 1995
Publisher: © A. Eustaquio-Martin
Abstract: An image processing procedure to perform a quasi-real time dimensional analysis of blood vessels undergoing morphological changes in a perfusion myograph is developed. Images of blood vessels are recorded using perfusion myography and video microscopy. The vessels' edges are detected automatically using an edge-tracking algorithm which combines a tracking method with image processing techniques, including: gradient operators and threshold. Because of the scattering effects that occur when the images are recorded, the edges found by the algorithm are not the actual vessels' edges. An attempt to correct this effect using a low order optical model based on Beer-Lambert's law of light transmission through absorbing media is proposed and tested.
Description: A master's thesis submitted in partial fulfilment of the requirements for the award of Master of Philosophy at Loughborough University.
URI: https://dspace.lboro.ac.uk/2134/31987
Appears in Collections:MPhil Theses (Mechanical, Electrical and Manufacturing Engineering)

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