Title | ||
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Extracting Features from Optical Coherence Tomography for Measuring Optical Nerve Thickness. |
Abstract | ||
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Neurological pathologies, especially optical neuro-pathologies, can be studied by means of OCT (optical coherence tomography). Tomography generally allows to investigate inner structures of a tissue such as mass, and profiles of liquid flow. OCT is intended as an interferometry-based imaging technique that provides cross-sectional views of substrates. It allows to measure micro-scale cross-sectional imaging of biological tissue. While ultrasound uses sound waves, it acts like it but with a low coherence light. Optical nerve thickness has an impact on different neurological pathologies, and in particular as an indicator of epilepsy. We propose a dedicated technique for measuring optical nerve thickness and identifying its quality by means of processing front eye image in nanoscale. Experimental measurements have been performed, and a database of 10 teenagers has been used for that. |
Year | Venue | Field |
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2018 | MeMeA | Optical coherence tomography,Optics,Interferometry,Coherence (physics),Tomography,Biological tissue,Materials science,Electroencephalography,Ultrasound,Sound wave |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Aimé Lay-Ekuakille | 1 | 71 | 21.29 |
Patrick Kapita Mvemba | 2 | 0 | 0.68 |
Antonio Trabacca | 3 | 8 | 1.78 |
R. De Santis | 4 | 0 | 0.34 |
M. Ciccarelli | 5 | 0 | 0.34 |
Rosario Morello | 6 | 11 | 6.52 |