Determination of the pathological state of skin samples by optical polarimetry parameters
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Identificadores
URI: https://hdl.handle.net/10902/36540DOI: 10.1117/12.817982
ISSN: 0277-786X
ISSN: 1996-756X
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2008Derechos
© 2008 Society of Photo-Optical Instrumentation Engineers (SPIE). One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this publication for a fee or for commercial purposes, and modification of the contents of the publication are prohibited
Publicado en
Proceedings of SPIE, 2008, 7318, 71380I
Photonics, Devices, and Systems IV, Prague, Czech Republic, 2008
Editorial
SPIE Society of Photo-Optical Instrumentation Engineers
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Palabras clave
Polarimetry
Depolarization factor
Porcine skin cancer
Resumen/Abstract
Polarimetry is widely known to involve a series of powerful optical techniques that characterize the polarization behaviour of a sample. In this work, we propose a method for applying polarimetric procedures to the characterization of biological tissues, in order to differentiate between healthy and pathologic tissues on a polarimetric basis. Usually, medical morphology diseases are diagnosed based on histological alterations of the tissue. The fact that these alterations will be reflected in polarization information highlights the suitability of polarimetric procedures for diagnostic purposes. The analysis is mainly focused on the depolarization properties of the media, as long as the internal structure strongly affects the polarization state of the light that interacts with the sample. Therefore, a method is developed in order to determine the correlation between pathological ultraestructural characteristics and the subsequent variations in the polarimetric parameters of the backscattered light. This study is applied to three samples of porcine skin corresponding to a healthy region, a mole, and a cancerous region. The results show that the method proposed is indeed an adequate technique in order to achieve an early, accurate and effective cancer detection.
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