Depth-resolved attenuation coefficient estimation for skin cancer assessment with Optical Coherence Tomography
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Identificadores
URI: http://hdl.handle.net/10902/18324DOI: 10.1117/12.2527255
ISBN: 978-1-5106-2839-7
ISSN: 0277-786X
ISSN: 1996-756X
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Real Peña, Eusebio


Fecha
2019-07-19Derechos
© 2019 Society of Photo-Optical Instrumentation Engineers and Optical Society of America. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
Publicado en
Eusebio Real, Gema Pérez Paredes, José M. López Higuera, Olga M. Conde, "Depth-resolved attenuation coefficient estimation for skin cancer assessment with optical coherence tomography," in European Conference on Biomedical Optics: Optical Coherence Imaging Techniques and Imaging in Scattering Media III, edited by Maciej Wojtkowski, Stephen A. Boppart, Wang-Yuhl Oh, Vol. 11078 of Proceedings of SPIE-OSA Biomedical Optics, 1107812, (2019)
Editorial
SPIE Society of Photo-Optical Instrumentation Engineers-
The Optical Society (OSA)
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Palabras clave
Optical Coherence Tomography
Attenuation coefficient
Skin cancer
Melanoma
Basal Cell Carcinoma
Resumen/Abstract
Optical Coherence Tomography (OCT) is nowadays being widely employed as a diagnostic tool for skin cancer. It can produce feedback on tissue morphology alterations produced by different pathologies. OCT images are mainly produced by differences in refractive index and attenuation coefficient, providing in-depth information. Intensity OCT images display the effect of tissue alterations on backscattered light, but it does not represent real physical magnitude. In a number of occasions, morphology alteration events within the same tissue type, produce intensity variations in OCT images that can be misclassified as different tissue component. The estimation of depth-resolved attenuation coefficient improves tissue contrast, helping to identify tissue identity and isolating the effect of disordered structures of the same tissue. The proposed methodology shows that melanoma and Basal Cell Carcinoma (BCC) pathologies exhibit different optical parameters in depth. This enhances the identification of subsurface skin features.
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