Figure 5

This figure shows estimates of the attenuation coefficient for simulated OCT data using the standard DR and the Bayesian estimator given in (26). The OCT data was simulated with parameters \(I_{inc} =1\times10^7\), \(\mu _{oct}=2.00\) \(\beta _{NA} = 0.3\), \(\sigma _{scat}= 1\times10^{-6} {\text { mm}}^2\), a lateral resolution of \(\Delta x=0.02 {\text { mm}}\) and \(\Delta z = 0.0068 {\text { mm}}\) in a domain which is \(13.6 {\text { mm}}\) deep. After the attenuation coefficient was inferred using the DR method the bottom \(30\%\) of pixels are discarded to avoid reconstruction artifacts. Both the simulations and figure creation were done in Matlab 2019a²⁷, https://www.mathworks.com/. (a) This panel shows the ground truth attenuation coefficient for the simulation. This ground truth is a realization of the prior distribution given in Eq. (22). (b) This image shows the reconstructed attenuation coefficient using the DR method given in Eq. (8). (c) This panel shows an estimate attenuation coefficient given by the mean of the posterior distribution. This estimate was computed using Eq. (26).