Polarization gating based on Mueller matrices
| Autor: | Carla Rodríguez, Juan Campos, Albert Van Eeckhout, Enric Garcia-Caurel, Angel Lizana, Kamil Adamczyk, Juan C. Escalera, Ignacio Moreno |
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| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Diagnostic Imaging
Biomedical Engineering Polarimetry 02 engineering and technology Gating 01 natural sciences 010309 optics Biomaterials Optics Polarimetric image contrast 0103 physical sciences Mueller calculus Physics Analytical expressions business.industry Phantoms Imaging Models Theoretical 021001 nanoscience & nanotechnology Polarization (waves) Helicity Atomic and Molecular Physics and Optics Image contrast Electronic Optical and Magnetic Materials Computational physics Metrology Mueller matrix Polarization gating 0210 nano-technology business Biological tissue |
| Zdroj: | Recercat: Dipósit de la Recerca de Catalunya Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) Recercat. Dipósit de la Recerca de Catalunya instname Dipòsit Digital de Documents de la UAB Universitat Autònoma de Barcelona |
| Popis: | We present mathematical formulas generalizing polarization gating (PG) techniques. PG refers to a collection of imaging methods based on the combination of different controlled polarization channels. In particular, we show how using the measured Mueller matrix (MM) of a sample, a widespread number of PG configurations can be evaluated just from analytical expressions based on the MM coefficients. We also show the interest of controlling the helicity of the states of polarization used for PG-based metrology, as this parameter has an impact in the image contrast of samples. In addition, we highlight the interest of combining PG techniques with tools of data analysis related to the MM formalism, such as the well-known MM decompositions. The method discussed in this work is illustrated with the results of polarimetric measurements done on artificial phantoms and real ex-vivo tissues. |
| Databáze: | OpenAIRE |
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