Mueller Coherency matrix method for contrast image in tissue polarimetry
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URI: http://hdl.handle.net/10902/4236DOI: 10.1117/12.728425
ISBN: 978-0-8194-6771-3
ISSN: 1996-756X
ISSN: 0277-786X
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2007-06Derechos
© 2007 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
J. L. Arce-Diego, F. Fanjul-Vélez, D. Samperio-García, and D. Pereda-Cubián, "Mueller Coherency matrix method for contrast image in tissue polarimetry," in European Conference on Biomedical Optics: Optical Coherence Tomography and Coherence Techniques III, P. Andersen and Z. Chen, eds., Vol. 6627 of Proceedings of SPIE-OSA Biomedical Optics, 66271T1, (2007)
Editorial
SPIE Society of Photo-Optical Instrumentation Engineers-
Optical Society of America
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Palabras clave
Tissue polarimetry
Mueller matrix
Mueller Coherency matrix
Entropy
Backscattering polarimeter
Resumen/Abstract
In this work, we propose the use of the Mueller Coherency matrix of biological tissues in order to increase the information from tissue images and so their contrast. This method involves different Mueller Coherency matrix based parameters, like the eigenvalues analysis, the entropy factor calculation, polarization components crosstalks, linear and circular polarization degrees, hermiticity or the Quaternions analysis in case depolarisation properties of tissue are sufficiently low. All these parameters make information appear clearer and so increase image contrast, so pathologies like cancer could be detected in a sooner stage of development. The election will depend on the concrete pathological process under study. This Mueller Coherency matrix method can be applied to a single tissue point, or it can be combined with a tomographic technique, so as to obtain a 3D representation of polarization contrast parameters in pathological tissues. The application of this analysis to concrete diseases can lead to tissue burn depth estimation or cancer early detection.
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