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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.
Harnani Hassan,Sijung Hu, andVincent M. Dwyer
"A dynamic opto-physiological model to effectively interpret retinal microvascular circulation", Proc. SPIE 9315, Design and Quality for Biomedical Technologies VIII, 931505 (5 March 2015); https://doi.org/10.1117/12.2076899
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Harnani Hassan, Sijung Hu, Vincent M. Dwyer, "A dynamic opto-physiological model to effectively interpret retinal microvascular circulation," Proc. SPIE 9315, Design and Quality for Biomedical Technologies VIII, 931505 (5 March 2015); https://doi.org/10.1117/12.2076899