A square cross-section FOV rotational CL (SC-CL) and its analytical reconstruction method

TL;DR

This paper introduces a novel square cross-section FOV rotational computed laminography (SC-CL) and derives an FDK-type analytical reconstruction algorithm, validated through numerical experiments for improved 3D imaging of plate-like objects.

Contribution

The paper presents a new SC-CL method with an analytical reconstruction algorithm tailored for square cross-section FOVs, enhancing imaging capabilities.

Findings

Successful derivation of an FDK-type reconstruction algorithm for SC-CL

Numerical validation demonstrates the method's effectiveness

Potential for improved 3D imaging of plate-like objects

Abstract

Rotational computed laminography (CL) has broad application potential in three-dimensional imaging of plate-like objects, as it only needs x-ray to pass through the tested object in the thickness direction during the imaging process. In this study, a square cross-section FOV rotational CL (SC-CL) was proposed. Then, the FDK-type analytical reconstruction algorithm applicable to the SC-CL was derived. On this basis, the proposed method was validated through numerical experiments.