Publication
Title
CAD-ASTRA : a versatile and efficient mesh projector for X-ray tomography with the ASTRA-toolbox
Author
Abstract
Accurate and fast simulation of X-ray projection data from mesh models has many applications in academia and industry, ranging from 3D X-ray computed tomography (XCT) reconstruction algorithms to radiograph-based object inspection and quality control. While software tools for the simulation of X-ray projection data from mesh models are available, they lack either performance, public availability, flexibility to implement non-standard scanning geometries, or easy integration with existing 3D XCT software. In this paper, we propose CAD-ASTRA, a highly versatile toolbox for fast simulation of X-ray projection data from mesh models. While fully functional as standalone software, it is also compatible with the ASTRA toolbox, an open-source toolbox for flexible tomographic reconstruction. CAD-ASTRA provides three specialized GPU projectors based on state-of-the-art algorithms for 3D rendering, implemented using the NVIDIA CUDA Toolkit and the OptiX engine. First, it enables X-ray phase contrast simulations by modeling refraction through ray tracing. Second, it allows the back-propagation of projective errors to mesh vertices, enabling immediate application in mesh reconstruction, deep learning, and other optimization routines. Finally, CAD-ASTRA allows simulation of polychromatic X-ray projections from heterogeneous objects with a source of finite focal spot size. Use cases on a CAD-based inspection task, a phase contrast experiment, a combined mesh-volumetric data projection, and a mesh reconstruction demonstrate the wide applicability of CAD-ASTRA.
Language
English
Source (journal)
Optics express. - -
Publication
2024
ISSN
1094-4087
DOI
10.1364/OE.498194
Volume/pages
32 :3 (2024) , p. 3425-3439
ISI
001199999200004
Pubmed ID
38297563
Full text (Publisher's DOI)
Full text (open access)
UAntwerpen
Faculty/Department
Research group
Project info
X-ray reconstruction of foam microstructure formation.
Fiber orientation distribution estimation of fiber reinforced polymers using phase contrast X-ray tomography.
Adaptive edge illumination-based phase contrast imaging.
Next generation X-ray phasecontrast imaging for food quality and process engineering (FoodPhase).
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identifier
Creation 25.03.2024
Last edited 10.06.2024
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