title: Noise stochastic corrected maximuma posterioriestimator for birefringence imaging using polarization-sensitive optical coherence tomography.
abstract: This paper presents a noise-stochastic corrected maximuma posterioriestimator for birefringence imaging using Jones matrix optical coherence tomography. The estimator described in this paper is based on the relationship between probability distribution functions of the measured birefringence and the effective signal to noise ratio (ESNR) as well as the true birefringence and the true ESNR. The Monte Carlo method is used to numerically describe this relationship and adaptive 2D kernel density estimation provides the likelihood fora posterioriestimation of the true birefringence. Improved estimation is shown for the new estimator with stochastic model of ESNR in comparison to the old estimator, both based on the Jones matrix noise model. A comparison with the mean estimator is also done. Numerical simulation validates the superiority of the new estimator. The superior performance of the new estimator was also shown byin vivomeasurement of optic nerve head.
authors.affiliation: Computational Optics Group, University of Tsukuba, Tsukuba, Japan.
authors.forename: Deepa
authors.initials: D
authors.lastname: Kasaragod
authors.affiliation: Computational Optics Group, University of Tsukuba, Tsukuba, Japan.
authors.forename: Shuichi
authors.initials: S
authors.lastname: Makita
authors.affiliation: Computational Optics Group, University of Tsukuba, Tsukuba, Japan.
authors.forename: Young-Joo
authors.initials: YJ
authors.lastname: Hong
authors.affiliation: Computational Optics Group, University of Tsukuba, Tsukuba, Japan.
authors.forename: Yoshiaki
authors.initials: Y
authors.lastname: Yasuno
keywords: (110.5405) Polarimetric imaging; (170.3890) Medical optics instrumentation; (170.4460) Ophthalmic optics and devices; (170.4470) Ophthalmology; (170.4500) Optical coherence tomography