Comparison of different iterative reconstruction algorithms for X-ray volumetric inspection

Liaptsis, Georgios; TWI Technology Centre Wales; United Kingdom

Liaptsis, G.; TWI Technology Centre (Wales); United Kingdom
Clarke, A.L.; TWI Technology Centre (Wales); United Kingdom
Nithiarasu, P.; College of Engineering, Swansea University; United Kingdom

ID: ECNDT-0557-2018
Download: PDF
Session: CT-Methods 2
Room: G3
Date: 2018-06-12
Time: 13:30 - 13:50

The widely established technique of traditional industrial X-ray Computed Tomography (CT) uses transformed based algorithms to reconstruct volumetric data. The most widely used algorithm is considered to be the Feldkamp, Davis and Kress (FDK) algorithm. However, the FDK algorithm suffers from a number of limitations. It requires thousands of projections to have good quality reconstructed images. This increases the acquisition time and subsequently the cost. Also, they are completely unsuitable for advanced scanning geometries with limited projections, complex trajectories or robotised radiography. These difficulties can be overcome using iterative reconstruction algorithms. In the present work we demonstrate a comparison of all existing iterative reconstruction algorithms as well as a new multiplicative version. A parametric study was carried out in order to find the advantages of each algorithm. The algorithms were analysed for their performance in different inspection scenarios.