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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Hauptverfasser: Fanjul-Velez, F., Samperio-Garcia, D., Pereda-Cubian, D., Arce-Diego, J.L.
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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.
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identifier ISSN: 1094-687X
ispartof 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2007, Vol.2007, p.3339-3342
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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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