Analysis of simulated and experimental backscattered images of turbid media in linearly polarized light: estimation of the anisotropy factor.
Optical characterization of biological tissues is of real interest to improve medical diagnosis, in particular in the detection of precancerous tissues. We propose a new, noninvasive method allowing the estimation of the anisotropy factor. This method is based on the image analysis of the Q element of the Stokes vector backscattered from the turbid medium. These Q-element images show specific patterns depending on g. Therefore the use of Fourier descriptors (FDs) on simulated data to discriminate the specific geometrical features of the Q element enabled us to determine a linear relation between the anisotropy factor and six FDs. This method was applied on experimental data obtained with calibrated solutions. The anisotropy factor was estimated with a maximum relative error of 13%.
Falconet
Julie
J
Créatis-LRMN, INSA de Lyon, Université Lyon 1, CNRS UMR 5220, INSERM U630, CPE, Domaine scientifique de la Doua, 3 rue Victor Grignard, 69616 Villeurbanne Cedex, France. julie.falconet@univ-lyon1.fr
Sablong
Raphaël
R
Perrin
Emmanuel
E
Jaillon
Franck
F
Saint-Jalmes
Hervé
H
D000465:Algorithms; D016880:Anisotropy; D002138:Calibration; D007090:Image Interpretation, Computer-Assisted / Q000379:methods; D008027:Light; D016014:Linear Models; D008859:Microscopy, Polarization / Q000379:methods; D015233:Models, Statistical; D009010:Monte Carlo Method; D009391:Nephelometry and Turbidimetry / Q000379:methods; D055095:Optics and Photonics; D011230:Precancerous Conditions / Q000175:diagnosis / Q000473:pathology; D012031:Refractometry / Q000379:methods; D012542:Scattering, Radiation