ARI3D: A Software for Interactive Quantification of Regions in X-Ray CT 3D Images

TL;DR

ARI3D is an interactive software tool designed to improve the analysis and quantification of microstructures in 3D X-ray CT images by assisting users through segmentation, classification, and artifact correction.

Contribution

The paper introduces ARI3D, a novel interactive software that enhances microstructure analysis in 3D X-ray CT images by addressing artifacts and improving quantification accuracy.

Findings

Enhanced phase identification accuracy

Improved detection limits for microstructures

Effective correction of imaging artifacts

Abstract

X-ray computed tomography (CT) is the main 3D technique for imaging the internal microstructures of materials. Quantitative analysis of the microstructures is usually achieved by applying a sequence of steps that are implemented to the entire 3D image. This is challenged by various imaging artifacts inherent from the technique, e.g., beam hardening and partial volume. Consequently, the analysis requires users to make a number of decisions to segment and classify the microstructures based on the voxel gray-values. In this context, a software tool, here called ARI3D, is proposed to interactively analyze regions in three-dimensional X-ray CT images, assisting users through the various steps of a protocol designed to classify and quantify objects within regions of a three-dimensional image. ARI3D aims to 1) Improve phase identification; 2) Account for partial volume effect; 3) Increase the detection limit and accuracy of object quantification; and 4) Harmonize quantitative 3D analysis that can be implemented in different fields of science.