title: Maximum a posteriori estimator for high-contrast image composition of optical coherence tomography.
abstract: A quantitative signal amplitude estimator for optical coherence tomography (OCT) is presented. It is based on a statistical model of OCT signal and noise, using a Bayesian maximum a posteriori (MAP) estimation framework. Multiple OCT images are used for estimation, similar to the widely utilized intensity averaging method. The estimator is less biased especially at low-intensity regions, where intensity averaging approaches the noise power and hence is biased. The estimator is applied to posterior ocular OCT images and provides high-contrast visualization of pathologies. In addition, histogram analysis objectively shows the superior performance of the estimator compared with intensity averaging.
authors.forename: Aaron C
authors.initials: AC
authors.lastname: Chan
authors.forename: Kazuhiro
authors.initials: K
authors.lastname: Kurokawa
authors.forename: Shuichi
authors.initials: S
authors.lastname: Makita
authors.forename: Masahiro
authors.initials: M
authors.lastname: Miura
authors.forename: Yoshiaki
authors.initials: Y
authors.lastname: Yasuno
mesh_terms: D001499:Bayes Theorem; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D059629:Signal-To-Noise Ratio; D041623:Tomography, Optical Coherence