Table 1.

A step-by-step guide for implementing MISAM.

1	Acquire OCT data with various focal plane depth {z1, z2,..., zN} and preprocess, 〈r‖, k0, zn|S〉 = 〈r‖, k0|Sn〉.
2	For each dataset, take the 2-D Fourier transform with respect to transverse coordinates, $〈{\mathbf{k}}_{\Vert },k_0|{\tilde{S}}_n〉=\frac{1}{2\pi }\int {\text{d}}^2{r}_{\Vert }\text{exp}\left(i{\mathbf{k}}_{\Vert }\cdot {\mathbf{r}}_{\Vert }\right)〈{\mathbf{r}}_{\Vert },k_0|S_n〉$.
3	For each dataset, apply the inverse filter (optional), 〈k‖, k0|S̃′n〉 = H−1 (k‖, k0) 〈k‖, k0|S̃n〉.
4	For each dataset, perform the resampling, $〈{\mathbf{k}}_{\Vert },-\beta |{\tilde{S}}_n^{″}〉={〈{\mathbf{k}}_{\Vert },k_0|{\tilde{S}}_n^{\prime }〉|}_{k_0=\frac{1}{2}\sqrt{{\beta }^2+{{\mathbf{k}}_{\Vert }}^2}}$.
5	For each dataset, take the 3-D inverse Fourier transform with respect to k‖ and −β, 〈r‖, z| $S_n^{″}$〉 = (2π)−3/2 ∫ d2k‖dβ exp(−ik‖ · r‖ + iβz) 〈k‖, −β| ${\tilde{S}}_n^{″}$〉.
6	For each dataset, multiply with the relative beam radius function, 〈r‖, z|ηn〉 = wr(z − zn) 〈r‖, z| $S_n^{″}$〉.
7	For each dataset, multiply with the weighting, $〈{\mathbf{r}}_{\Vert },z|{\eta }_n^{\prime }〉=\frac{1}{1+\lambda w_r{(z-z_n)}^2}〈{\mathbf{r}}_{\Vert },z|{\eta }_n〉$.
8	Take the sum of all datasets, $〈{\mathbf{r}}_{\Vert },z|{\eta }_{\mathit{MISAM}}〉={\displaystyle \sum _{n=1}^N}〈{\mathbf{r}}_{\Vert },z|{\eta }_n^{\prime }〉$.