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Iterative computed tomography reconstruction algorithms for robotized inspection

Abstract : Robotized Computed Tomography (CT) inspection is one of the acknowledged new trends in X-ray Non Destructive Evaluation (NDE) since it allows more flexibility in the acquisition trajectory and therefore a valued adaptability to object and environment constraints. In this context, we are developing at CEA List an advanced platform consisting of two robots equipped respectively with a micro-focus X-ray tube and a flat panel detector. In order to perform CT inspection with such equipment, it is essential to deal with the main challenge brought by this robotized inspection, which is the angular limitation of the trajectory. Such limited-angle trajectory makes the classical analytic reconstruction algorithms inappropriate and requires the use of 3D iterative reconstruction algorithms. Two iterative algorithms are compared in this work, the wellknown Simultaneous Algebraic Reconstruction Technique (SART) and the Discrete Algebraic Reconstruction Technique (DART), which integrates prior knowledge on the object, to perform 3D reconstructions from a limited data set. Their performances are evaluated and both algorithms are applied on real data acquired with the robotic platform.
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Contributor : Léna Le Roy Connect in order to contact the contributor
Submitted on : Wednesday, July 18, 2018 - 1:52:06 PM
Last modification on : Friday, April 8, 2022 - 2:50:02 PM


  • HAL Id : cea-01843013, version 1


C. Vienne, M. Costin, A. Stolidi, H. Banjak. Iterative computed tomography reconstruction algorithms for robotized inspection. 56th Annual Conference of the British Institute of Non-Destructive Testing, NDT 2017, Sep 2017, Telford, United Kingdom. ⟨cea-01843013⟩



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