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Proceedings Paper

A dynamic opto-physiological model to effectively interpret retinal microvascular circulation
Author(s): Harnani Hassan; Sijung Hu; Vincent M. Dwyer
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Paper Abstract

The demand of non-invasive ocular screening is rapidly growing due to an increase of age related eye diseases worldwide. An indeed in-depth understanding of optical properties is required to elucidate nature of retinal tissue. The research aims to investigate an effective biomedical engineering approach to allow process region of interests (ROIs) in eyes to reveal physiological status. A dynamic opto-physiological model (DOPM) representing retinal microvascular circulation underlying a diffusion approximation to solve radiative transport theorem (RTT) has being developed to interpret patho-physiological phenomena. DOPM is being applied in imaging photoplethysmography (iPPG) to extract PPG signals from a series of 2D matrix images to access blood perfusion and oxygen saturation distributions. A variation of microvascular circulation could be mapped for an effectively diagnostic screening. The work presents mathematical modelling based ten layers of ocular tissue tested with four set of controlled parameters demontrated detection ratio between normal tissue damage or abnormal tissue and significant change of AC signal amplitude in these tissues. The result shows signicant change of AC signal amplitude in abnormal tissue. The preliminary results show extractable PPG signals from eye fundus video; experimented at five ROIs: whole fundus, optical disk, main vein vessel, lesion area and affected area. The outcome shows optical disk region gave a better performance compared to whole fundus region and main vein vessel. The robustness, miniaturization and artefact reduction capability of DOPM to discriminate oxygenation levels in retina could offer a new insight to access retinal patho-physiological status.

Paper Details

Date Published: 5 March 2015
PDF: 14 pages
Proc. SPIE 9315, Design and Quality for Biomedical Technologies VIII, 931505 (5 March 2015); doi: 10.1117/12.2076899
Show Author Affiliations
Harnani Hassan, Loughborough Univ. (United Kingdom)
Sijung Hu, Loughborough Univ. (United Kingdom)
Vincent M. Dwyer, Loughborough Univ. (United Kingdom)


Published in SPIE Proceedings Vol. 9315:
Design and Quality for Biomedical Technologies VIII
Ramesh Raghavachari; Rongguang Liang, Editor(s)

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