TY - CONF A1 - Reuter, T. A1 - Wohlgemuth, F. A1 - Bellon, Carsten A1 - Hausotte, T. T1 - Measurement-based Detector Characteristics for Digital Twins in aRTist 2 T2 - Proceedings of the 20th World Conference on Non-Destructive Testing (WCNDT 2024), 27-31 May 2024 in Incheon, South Korea, in e-Journal of Nondestructive Testing (eJNDT) N2 - Various software products for the simulation of industrial X-ray radiography have been developed in recent years (e.g., aRTist 2, CIVA CT, Scorpius XLab, SimCT, Wilcore) and their application potential has been shown in numerous works. However, full systematic approaches to characterise a specific CT system for these simulation software products to obtain a truthful digital twin are still missing. In this contribution, we want to present two approaches to obtain realistic grey values in X-ray projections in aRTist 2 simulations based on measured projections. In aRTist 2, the displayed grey value of a pixel is based on the energy density incident on that pixel. The energy density is calculated based on the X-ray tube spectrum, the attenuation between source and detector as well as an energy-dependent sensitivity curve of the detector. The first approach presented in this contribution uses the sensitivity curve as a free modelling parameter. We measured the signal response at different thicknesses of Al EN-AW6082 at different tube voltages (i.e., different tube spectra). We then regarded the grey values displayed by these projections as a data regression respectively an optimisation problem and obtained the sensitivity curve that is best able to reproduce the measured behaviour in aRTist 2. The resulting sensitivity curve does not necessarily hold physical meaning but is able to simulate the real system behaviour in the simulation software. The second approach presented in this contribution is to estimate the sensitivity curve based on assumptions about the characteristics of the scintillation detector (e.g., scintillator material, scintillator thickness and signal processing characteristics). For this approach, a linear response function (linear relationship between the deposited energy per pixel and the resulting grey value) is assumed. If the detector characteristics, which affect the simulated deposited energy, are properly modelled, the slope and offset of the response function to match the measured grey values should be the same for different tube spectra. As the offset is constant and given by the grey values measured at no incident radiation, the slope is the remaining parameter to evaluate the success of the detector modelling. We therefore adapted the detector characteristics by changing the detector setup until the slope was nearly the same for all measured tube spectra. We are aware that the resulting parameters of the scintillator material and thickness might not be the real ones, but with those modelling parameters we are able to simulate realistic grey values in aRTist 2. Both of those approaches could potentially be a step forward to a full systematic approach for a digital twin of a real CT system in aRTist 2. T2 - 20th World Conference on Non-Destructive Testing (WCNDT 2024) CY - Incheon, South Korea DA - 27.05.2024 KW - Digital Twin KW - Computed Tomography KW - Simulation PY - 2024 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-602046 DO - https://doi.org/10.58286/29910 SP - 1 EP - 10 PB - NDT.net CY - Mayen, Germany AN - OPUS4-60204 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Reuter, T. A1 - Borges de Oliveira, F. A1 - Abt, Ch. A1 - Ballach, F. A1 - Bartscher, M. A1 - Bellon, Carsten A1 - Dennerlein, F. A1 - Fuchs, P. A1 - Günnewig, O. A1 - Hausotte, T. A1 - Hess, J. A1 - Kasperl, S. A1 - Maass, N. A1 - Kimmig, W. A1 - Schielein, R. A1 - von Schmid, M. A1 - Suppes, A. A1 - Wagner, G. A1 - Watzl, Ch. A1 - Wohlgemuth, F. T1 - Introduction to “Realistic Simulation of real CT systems with a basic-qualified Simulation Software - CTSimU2“ N2 - The lack of traceability to meter of X-ray Computed Tomography (CT) measurements still hinders a more extensive acceptance of CT in coordinate metrology and industry. To ensure traceable, reliable, and accurate measurements, the determination of the task-specific measurement uncertainty is necessary. The German guideline VDI/VDE 2630 part 2.1 describes a procedure to determine the measurement uncertainty for CT experimentally by conducting several repeated measurements with a calibrated test specimen. However, this experimental procedure is cost and effort intensive. Therefore, the simulation of dimensional measurement tasks conducted with X-ray computed tomography can close these drawbacks. Additionally, recent developments towards a resource and cost-efficient production (“smart factory”) motivate the need for a corresponding numerical model of a CT system (“digital twin”) as well. As there is no standardized procedure to determine the measurement uncertainty of a CT system by simulation at the moment, the project series CTSimU was initiated, aiming at this gap. Concretely, the goal is the development of a procedure to determine the measurement uncertainty numerically by radiographic simulation. The first project (2019-2022), "Radiographic Computed Tomography Simulation for Measurement Uncertainty Evaluation - CTSimU" developed a framework to qualify a radiographic simulation software concerning the correct simulation of physical laws and functionalities. The most important outcome was a draft for a new guideline VDI/VDE 2630 part 2.2, which is currently under discussion in the VDI/VDE committee. The follow-up project CTSimU2 "Realistic Simulation of real CT systems with a basic-qualified Simulation Software" will deal with building and characterizing a digital replica of a specific real-world CT system. The two main targets of this project will be a toolbox including methods and procedures to configure a realistic CT system simulation and to develop tests to check if this replica is sufficient enough. The result will be a draft for a follow-up VDI/VDE guideline proposing standardized procedures to determine a CT system's corresponding characteristics and test the simulation (copy) of a real-world CT system which we call a "digital twin". T2 - 12th Conference on Industrial Computed Tomography (iCT) 2023 CY - Fürth, Germany DA - 27.02.2023 KW - dXCT KW - X-ray computed tomography KW - Simulation PY - 2023 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-589204 DO - https://doi.org/10.58286/27715 VL - 28 IS - 3 SP - 1 EP - 5 PB - NDT.net AN - OPUS4-58920 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Borges de Oliveira, F. A1 - Reuter, T. A1 - Plotzki, David A1 - Bartscher, M. A1 - Hausotte, T. T1 - Novel reference standards for the qualification of radiography-based computed tomography simulation software T2 - 11th Conference on Industrial Computed Tomography, Wels, Austria (iCT 2022) N2 - This contribution presents a set of largely novel reference standards specially designed for testing different important physical effects and functionalities of radiography-based computed tomography (CT) simulation software. These standards were developed within the scope of the German cooperation project “CTSimU – Radiographic Computed Tomography Simulation for Measurement Uncertainty Evaluation” [1] and serve as tools for the basic qualification of the sufficient physical correctness and required features of simulation software of CT-based coordinate measurement systems (CMSs) via the analyses either of 2D projection images only or of full CT scans. The results serve as input to the German standardisation committee for the development of a new national VDI/VDE guideline in the series VDI/VDE 2630 dealing with the basic qualification aspect of CT simulation software and shall lay ground for the measurement uncertainty determination of dimensional measurements using CT. T2 - 11th Conference on Industrial Computed Tomography (iCT 2022) CY - Online meeting DA - 08.02.2022 KW - Multi-geometry cuboid KW - Radiographic simulation software KW - Basic qualification KW - CT simulation, spherical step-wedge KW - Conical hole sheet KW - Tungsten-Edge PY - 2022 SP - 1 EP - 12 PB - Research Group Computed Tomography, Upper Austrian University of Applied Sciences (FH OÖ) CY - Wels, Austria AN - OPUS4-54569 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Reuter, T. A1 - Borges de Oliveira, F. A1 - Plotzki, David A1 - Hausotte, T. T1 - Influence of detector misalignments on different geometrical and dimensional measurands using a dedicated test specimen T2 - 11th Conference on Industrial Computed Tomography, Wels, Austria (iCT 2022) N2 - An important focus of research in Industrial X-ray Computed Tomography (CT) is to determine the task-specific measurement uncertainty of CT measurements numerically by using simulations. For this, all relevant influence factors need to be identified and quantified. It is known, for example, that geometrical misalignments of the detector lead to measurement deviations if the reconstruction does not consider these misalignments. This contribution uses computer simulation of CT data to investigate the influence of geometrical misalignments of the detector on several measurands found in typical measurements tasks in the industry. A newly developed test specimen with a broad variety of features is used for this study. Angular and positional detector deviations are systematically introduced into the simulations and deliberately left uncompensated during the CT reconstruction. The resulting measurement deviations are shown and discussed. T2 - 11th Conference on Industrial Computed Tomography (iCT 2022) CY - Online meeting DA - 08.02.2022 KW - Geometrical misalignment KW - Task specific numerical measurement uncertainty KW - Dimensional metrology PY - 2022 SP - 1 EP - 7 PB - Research Group Computed Tomography, Upper Austrian University of Applied Sciences (FH OÖ) CY - Wels, Austria AN - OPUS4-54568 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Plotzki, David A1 - Hartlaub, Bendix A1 - Borges de Oliveira, F. A1 - Reuter, T. A1 - Wohlgemuth, F. A1 - Bellon, Carsten A1 - Hausotte, T. T1 - The CTSimU software toolbox for CT-related image processing and quality assessment T2 - 11th Conference on Industrial Computed Tomography, Wels, Austria (iCT 2022) N2 - A software toolbox is introduced that addresses several needs common to computed tomography (CT). Built for the WIPANO CTSimU project to serve as the reference implementation for its image processing and evaluation tasks, it provides a Python 3 interface that is adaptable to many conceivable applications. Foremost, the toolbox features a pipeline architecture for sequential 2D image processing tasks, such as flat field corrections and image binning, and enables the user to create their own processing modules. Beyond that, it provides means to measure line profiles and image quality assessment algorithms to calculate modulation transfer functions (MTF) or to determine the interpolated basic spatial resolution (iSRb) using a duplex wire image. It can also be used to calculate projection matrices for the reconstruction of scans with arbitrary industrial CT geometries and trajectories. The CTSimU project defined a framework of projection- and volume-based test scenarios for the qualification of radiographic simulation software towards its use in dimensional metrology. The toolbox implements the necessary evaluation routines and generates reports for all projection-based tests. T2 - 11th Conference on Industrial Computed Tomography (iCT 2022) CY - Online meeting DA - 08.02.2022 KW - Image processing KW - CT KW - Geometry KW - Software KW - Python PY - 2022 SP - 1 EP - 7 PB - Research Group Computed Tomography, Upper Austrian University of Applied Sciences (FH OÖ) CY - Wels, Austria AN - OPUS4-54476 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Binder, F. A1 - Bellon, Carsten A1 - Wohlgemuth, F. A1 - Hausotte, T. T1 - Ein praxisnaher Leitfaden für computertomografische Untersuchungen mit der radiografischen Simulationsumgebung aRTist T2 - DGZfP-Berichtsband N2 - Radiografische Simulationswerkzeuge wie aRTist, ScorpiusXLab, SimCT oder CIVA CT verwenden analytische Methoden und physikalische Monte-Carlo-Teilchentransportsimulationen, um die Interaktionsprozesse zwischen Röntgenstrahlung und Materie zu simulieren. Die berechneten Projektionen bilden anschließend unter Berücksichtigung einer definierten Scan-Trajektorie die Basis der Simulation einer röntgencomputertomografischen Untersuchung. Für den erfolgreichen Einsatz der Computertomografie, sei es als zerstörungsfreie Prüfmethode oder beim dimensionellen Messen, ist es generell notwendig, bekannte Fehler- bzw. Abweichungsquellen des Messverfahrens auszuschließen oder zu reduzieren. Dabei hat sich gezeigt, dass die Auswahl der Messparameter und die Erfahrung des Anwenders direkten Einfluss auf das erzielbare Messergebnis einer computertomografischen Untersuchung nehmen. Es ist daher sinnvoll, die Parameterauswahl in einem virtuellen Simulationsaufbau vorher zu erproben und an die Messaufgabe anzupassen. Neben der Optimierung von Messparametern finden radiografische Simulationswerkzeuge auch Anwendung für Machbarkeitsstudien und werden zur Schulung von Anwendern im Bereich der Röntgen-Computertomografie verwendet. Radiografische Simulationswerkzeuge befinden sich in einem stetigen Wandel, beispielsweise durch die Entwicklung neuer Rekonstruktionsmethoden, durch Erweiterung von analytischen Modellen, durch Integration komplexer Trajektorien oder durch Berücksichtigung von prozessbedingten geometrischen Abweichungen. Im laufenden EMPIR-Projekt „AdvanCT“ entsteht deshalb ein „Good Practice Guide“ für die Simulationsumgebung aRTist. Ziel dieses Guides ist es, die mit steigender Komplexität verbundenen Einstiegshürden für Anwender von aRTist zu reduzieren, um damit einen praxisnahen Zugang zur virtuellen Computertomografie zu ermöglichen. Dabei werden anhand von praktisch nachvollziehbaren Beispielen die grundlegenden Mechanismen der Simulationsumgebung erklärt und ein strukturierter Leitfaden zur Simulation röntgencomputertomografischer Untersuchungen mit aRTist vermittelt. In diesem Beitrag werden erste Auszüge des Guides sowie eine Übersicht der weiteren geplanten Themen für die anschließende Diskussion vorgestellt. T2 - DGZfP-Jahrestagung 2021 CY - Online meeting DA - 10.05.2021 KW - Computertomografie KW - Simulation PY - 2021 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-530476 UR - https://jahrestagung.dgzfp.de/portals/jt2021/bb176/inhalt/poster.htm SN - 978-3-947971-18-3 VL - 176 SP - 1 EP - 9 PB - Deutsche Gesellschaft für Zerstörungsfreie Prüfung (DGZfP) CY - Berlin AN - OPUS4-53047 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Reuter, T. A1 - Plotzki, David A1 - Borges de Oliveira, F. A1 - Hausotte, T. T1 - Simulative Untersuchung des Einflusses von Bildrauschen auf dimensionelle Messungen mit industriellen Computertomografen T2 - DGZfP-Jahrestagung 2021 N2 - Die industrielle Röntgen-Computertomografie (CT) etabliert sich für die Anwendung in der dimensionellen Messtechnik. Sie bietet als zerstörungsfreies Messverfahren das Potential, sowohl innen- als auch außenliegende Merkmale holistisch zu erfassen. Für die Bestimmung der Güte eines Messwerts muss die dem Messwert zugeordnete Messunsicherheit ermittelt werden. Dabei kann, nach derzeitigem Stand der Technik und Normung, die aufgabenspezifische Messunsicherheit nach VDI/VDE 2630 Blatt 2.1 nur unter hohem Aufwand mit einer Vielzahl an experimentellen Wiederholmessungen ermittelt werden. Ziel diverser Forschungs-projekte zu diesem Thema ist es daher, eine numerische Messunsicherheitsbestimmung zu erreichen. Dafür ist es notwendig, alle signifikanten Einflussgrößen zu erfassen, deren Unsicherheitsbeiträge zu bestimmen und zu bewerten. In diesem Beitrag wird der Einfluss des Bildrauschens auf verschiedene dimensionelle Messgrößen simulativ untersucht. Mithilfe eines prismatischen Prüfkörpers, der eine Vielzahl an Geometrieelementen aufweist, werden verschiedene Messgrößen unterschiedlicher Komplexität betrachtet. Ziel ist es, für diese Messgrößen zu testen, wie diese auf das Bildrauschen reagieren. Dieses wird dabei durch das Signal-Rausch-Verhältnis (SNR) der Projektionsgrauwerte beschrieben und variiert. Es werden Wiederholsimulationen durchgeführt, damit eine statistische Aussage über die Verteilung der Messwerte möglich ist und der Einfluss des Rauschens auf verschiedene Messgrößen individuell beurteilt werden kann. Das Simulationsszenario wird so gestaltet, dass lediglich das Bildrauschen Einfluss auf die Messung hat. Die berechneten Verteilungsbreiten lassen mit sinkendem SNR eine deutliche Zunahme erkennen, insbesondere bei der Bestimmung von Formabweichungen. Simuliert wird mit der Software aRTist 2.10 (BAM). T2 - DGZfP-Jahrestagung 2021 CY - Online meeting DA - 10.05.2021 KW - Rauschen KW - Computertomografie KW - Dimensionelle Messung KW - Simulation PY - 2021 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-527144 SP - 1 EP - 11 PB - Deutsche Gesellschaft für Zerstörungsfreie Prüfung e.V. (DGZfP) CY - Berlin AN - OPUS4-52714 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Helmecke, E. A1 - Fleßner, M. A1 - Kaufmann, M. A1 - Staude, Andreas A1 - Hausotte, T. T1 - Numerical measurement uncertainty determination for dimensional measurements of microparts with CT T2 - 6th Conference on Industrial Computed Tomography (iCT) 2016, 9-12 February 2016, Wels, Austria N2 - Up to now, the only standardized method to determine the measurement uncertainty for computed tomography (CT) is to use calibrated workpieces as specified in the Guideline VDI/VDE 2630 Part 2.1. This paper discusses a promising numerical method for uncertainty determination with help of a virtual metrological CT (VMCT). It gives an explanation of the adjustments, the input parameters and the execution of the simulation. Furthermore, it discusses the first results of uncertainty determination compared to the method of using calibrated workpieces with the aid of two example cases. T2 - 6th Conference on Industrial Computed Tomography (iCT) CY - Wels, Austria DA - 09.02.2016 KW - simulation KW - Simulation KW - Computertomographie KW - Dimensionelle Metrologie KW - Normung KW - numerische Messunsicherheitsbestimmung KW - computed tomography KW - dimensional metrology KW - standardization KW - numerical uncertainty determination PY - 2016 UR - http://www.ndt.net/article/ctc2016/papers/ICT2016_paper_id17.pdf SP - Paper ID17, 1 EP - 7 AN - OPUS4-35481 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -