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Proceedings Paper

Polarization optical tomography with imaging based on neural processing
Author(s): Andrzej W. Domański; Mikołaj K. Olszewski; Tomasz R. Woliński
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Paper 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.

Paper Details

Date Published: 20 April 2006
PDF: 4 pages
Proc. SPIE 6158, Lightmetry and Light and Optics in Biomedicine 2004, 61580M (20 April 2006); doi: 10.1117/12.675792
Show Author Affiliations
Andrzej W. Domański, Warsaw Univ. of Technology (Poland)
Mikołaj K. Olszewski, Warsaw Univ. of Technology (Poland)
Tomasz R. Woliński, Warsaw Univ. of Technology (Poland)


Published in SPIE Proceedings Vol. 6158:
Lightmetry and Light and Optics in Biomedicine 2004
Katarzyna Kolacz; Jacek Sochacki, Editor(s)

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