Introducing DIANA: dual-mode imaging analysis open-source simulation software

Area of Science:

• Materials Science
• Imaging Physics
• Computational Science

Background:

• Computed tomography (CT) commonly uses X-rays, which are attenuated by dense materials.
• Neutron imaging excels at detecting light elements (e.g., hydrogen, lithium) due to their sensitivity.
• Combining X-ray and neutron data improves material phase discrimination beyond single-modality limits.

Purpose of the Study:

• Introduce DIANA (Dual-mode Imaging Analysis), an open-source Python package for dual-modality CT simulation.
• Provide a comprehensive pipeline for simulating X-ray and neutron CT data.
• Facilitate analysis and visualization of combined imaging data.

Main Methods:

• DIANA simulates voxelized phantoms and generates radiographic projections for X-rays and neutrons.
• The package includes controlled artifact injection and image reconstruction capabilities.
• It offers visualization and analysis of 2D histograms, including shape and quality metrics.

Main Results:

• DIANA successfully processed a simple composite phantom.
• High-resolution imaging of a realistic lithium-ion cell was demonstrated.
• The software enables discrimination of material phases not visible with single techniques.

Conclusions:

• DIANA provides a robust, open-source platform for dual-modality CT simulations.
• Its extensible architecture supports future integration of advanced imaging techniques.
• The package facilitates advanced material analysis and imaging research.