Improved Scatter Correction in X-Ray Cone Beam CT with Moving Beam Stop Array Using Johns' Equation

TL;DR

This paper introduces an improved scatter correction method for x-ray cone beam CT that leverages John's Equation to utilize view correlations and enhances accuracy with a moving beam stop array, validated through Monte Carlo simulations.

Contribution

The paper presents a novel correlation-based algorithm for scatter correction in CBCT that uses view redundancy and John's Equation, improving correction accuracy with a moving beam stop array.

Findings

Enhanced scatter correction accuracy demonstrated in simulations.

Robustness validated across different phantom models.

Effective use of view correlations improves image quality.

Abstract

In this paper, an improved scatter correction with moving beam stop array (BSA) for x-ray cone beam (CB) CT is proposed. Firstly, correlation between neighboring CB views is deduced based on John's Equation. Then, correlation-based algorithm is presented to complement the incomplete views by using the redundancy (over-determined information) in CB projections. Finally, combining the algorithm with scatter correction method using moving BSA, where part of primary radiation is blocked and incomplete projections are acquired, an improved correction method is proposed. Effectiveness and robustness is validated by Monte Carlo (MC) simulation with EGSnrc on humanoid phantom.