TABLE I.

Pseudo-Code of the Proposed Statistical Interior Tomography Algorithm

Input: ${\{y_i\}}_{i=1}^{N_I}$

Output: μ

Part 1: Inversion of THT

For each chord,

Initialize f(x) = 0

—For t = 1,2, ···, t1

POCS on C1 ~ C5;

—End

Coordinate transform μTHT = μChord

Part 2: CS-based SIR

Initialize μ0 = μTHT, TV(μ*)

—For t = 1,2, ···, t2

1) Update the image using Eq. (20);

2) Determine the threshold using Eq. (23);

3) Nonlinear filtering using Eq. (22);

—End