Investigation of Non-circular Scanning Trajectories in Robot-based Industrial X-ray Computed Tomography of Multi-material Objects

Peter Landstorfer, Gabriel Herl, Jochen Hiller

Abstract

In this work the application of six-axis robots for robot-based industrial X-ray computed tomography (CT) imaging is investigated. In contrast to classical Cartesian manipulators with a turntable used in industrial cone-beam CT, robots offer increased flexibility regarding scanning trajectories. The increased flexibility with respect to scanning trajectories helps to gather highly informative content from alternative ray paths for a high-quality 3D reconstruction of the object to be scanned. Using numerical simulations we show that this additional informations increase the image quality of a CT scan of a multi-material measuring object, consisting of tantalum spheres and a carbon structure.

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Paper Citation


in Harvard Style

Landstorfer P., Herl G. and Hiller J. (2019). Investigation of Non-circular Scanning Trajectories in Robot-based Industrial X-ray Computed Tomography of Multi-material Objects.In Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO, ISBN 978-989-758-380-3, pages 518-522. DOI: 10.5220/0007966405180522


in Bibtex Style

@conference{icinco19,
author={Peter Landstorfer and Gabriel Herl and Jochen Hiller},
title={Investigation of Non-circular Scanning Trajectories in Robot-based Industrial X-ray Computed Tomography of Multi-material Objects},
booktitle={Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,},
year={2019},
pages={518-522},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007966405180522},
isbn={978-989-758-380-3},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,
TI - Investigation of Non-circular Scanning Trajectories in Robot-based Industrial X-ray Computed Tomography of Multi-material Objects
SN - 978-989-758-380-3
AU - Landstorfer P.
AU - Herl G.
AU - Hiller J.
PY - 2019
SP - 518
EP - 522
DO - 10.5220/0007966405180522