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20 April 2006 Polarization optical tomography with imaging based on neural processing
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Proceedings Volume 6158, Lightmetry and Light and Optics in Biomedicine 2004; 61580M (2006) https://doi.org/10.1117/12.675792
Event: Lightmetry and Light and Optics in Biomedicine 2004, 2004, Warsaw, Poland
Abstract
Optical tomography with narrow laser beam allows for imaging of objects in high scattering medium but with not sufficient resolution and accuracy. In order to improve the method, polarization parameters of scattered light are taken into analysis. In addition a neural network software for processing of data collected during imaging procedure is used. New tomographic method was tested experimentally. As a light source a laser diode module lasing at 660 nm with 35 mW maximum optical power output and internal 2.5 kHz modulation was applied. Intralipid solution in plastic container was used as scattering medium in which a probe with more dense Intralipid solution played role of an object. Scattered light was detected by photodiode with system of polarization analysis and amplified by selective nanovoltmeter. Computer controlled an angular scanning procedure and collected the data from detecting system. After several steps of learning process required by neural software procedure an imaging of placement of object in container was obtained. In conclusion, possible applications of other kind of neural networks are briefly discussed.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Andrzej W. Domański, Mikołaj K. Olszewski, and Tomasz R. Woliński "Polarization optical tomography with imaging based on neural processing", Proc. SPIE 6158, Lightmetry and Light and Optics in Biomedicine 2004, 61580M (20 April 2006); https://doi.org/10.1117/12.675792
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