Mueller Matrix Group Theory Formalism for Tissue Imaging Polarimetry Contrast Increase
Optical characterization techniques provide a new approach to diagnostic imaging, with features such as a noninvasive or nonionizing character, as long as a resolution improvement. Intensity based measurements could be not enough for certain cases, and polarization information should be also used as...
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creator | Fanjul-Velez, F. Samperio-Garcia, D. Pereda-Cubian, D. Arce-Diego, J.L. |
description | Optical characterization techniques provide a new approach to diagnostic imaging, with features such as a noninvasive or nonionizing character, as long as a resolution improvement. Intensity based measurements could be not enough for certain cases, and polarization information should be also used as a contrast parameter. Imaging polarimetry could be useful in many biomedical applications like dermatology or ophthalmology. Furthermore, it could be applied to the study of internal tissues through the use of optical fiber endoscopes, much less invasive that conventional biopsy. In this work the use of polarization parameters like the entropy factor, polarization components crosstalks or linear and circular polarization degrees is proposed as a way of improving tissue imaging contrast. |
doi_str_mv | 10.1109/IEMBS.2007.4353045 |
format | Conference Proceeding |
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Intensity based measurements could be not enough for certain cases, and polarization information should be also used as a contrast parameter. Imaging polarimetry could be useful in many biomedical applications like dermatology or ophthalmology. Furthermore, it could be applied to the study of internal tissues through the use of optical fiber endoscopes, much less invasive that conventional biopsy. In this work the use of polarization parameters like the entropy factor, polarization components crosstalks or linear and circular polarization degrees is proposed as a way of improving tissue imaging contrast.</abstract><cop>United States</cop><pub>IEEE</pub><pmid>18002711</pmid><doi>10.1109/IEMBS.2007.4353045</doi><tpages>4</tpages></addata></record> |
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identifier | ISSN: 1094-687X |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Algorithms Biomedical imaging Biomedical measurements Biomedical optical imaging Biopsy Computer Simulation Diagnostic Imaging - methods Endoscopes Image Interpretation, Computer-Assisted - methods Image resolution Models, Biological Optical fiber polarization Optical fibers Optical imaging Polarimetry Refractometry - methods Reproducibility of Results Sensitivity and Specificity |
title | Mueller Matrix Group Theory Formalism for Tissue Imaging Polarimetry Contrast Increase |
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