TY - JOUR A1 - Reuter, T. A1 - Plotzki, David A1 - Borges de Oliveira, F. A1 - Wohlgemuth, F. A1 - Bauer, F. A1 - Ballach, F. A1 - Kimmig, W. A1 - Wagner, G. A1 - Watzl, C. A1 - Weiß, D. A1 - Hausotte, T. T1 - Numerical measurement uncertainty evaluation for X-ray computed tomography using simulations – A first approach to build a digital twin JF - tm - Technisches Messen N2 - The ability of industrial X-ray computed tomography (CT) to scan an object with several internal and external features at once causes increasing adoption in dimensional metrology. In order to evaluate the quality of a measurement value, the task-specific measurement uncertainty has to be determined. Currently, VDI/VDE 2630 part 2.1 gives a guideline to determine the uncertainty of CT measurements experimentally by conducting repeated measurements. This is costly and time-consuming. Thus, the aim is to determine the task-specific measurement uncertainty numerically by simulations (e. g. according to the guide to expression of uncertainty in measurement (GUM) Supplement 1). To achieve that, a digital twin is necessary. This contribution presents a simple first approach how a digital twin can be built. In order to evaluate this approach, a study comparing measurements and simulations of different real CT systems was carried out by determining the differences between the measurement results of the digital twin and of the measurement results of the real-world CT systems. The results have shown a moderate agreement between real and simulated data. To improve on this aspect, a standardized method to characterize CT systems and methods to implement CT parameters into the simulation with sufficient accuracy will be developed. N2 - Die industrielle Röntgencomputertomografie (CT) wird durch ihre Fähigkeit, ein Messobjekt mit unterschiedlichen inneren und äußeren Merkmalen auf einmal zu messen, immer häufiger auch in der dimensionellen Messtechnik eingesetzt. Um die Güte eines Messwertes beurteilen zu können, muss die aufgabenspezifische Messunsicherheit ermittelt werden. Mit der Richtlinie VDI/VDE 2630 Blatt 2.1 kann derzeit die aufgabenspezifische Messunsicherheit von CT-Messungen experimentell durch eine Vielzahl an Wiederholmessungen ermittelt werden. Diese Vorgehensweise ist allerdings kosten- und zeitintensiv. Daher wird die Bestimmung der aufgabenspezifischen Messunsicherheit numerisch durch Simulationen angestrebt (z. B. Leitfaden zur Angabe der Unsicherheit beim Messen (GUM) Supplement 1). Um dieses Ziel zu erreichen, ist es notwendig, einen Digitalen Zwilling von der Messung mit dem verwendeten CT-System zu erstellen. Dieser Beitrag stellt einen ersten Ansatz zur Erstellung eines Digitalen Zwillings vor. Um diesen anschließend zu testen, wurden in einem ersten Test mehrere CT-Scans auf verschiedenen Anlagen durchgeführt und anschließend anhand der verfügbaren Parameter simuliert. Um die Qualität des jeweiligen Digitalen Zwillings einschätzen zu können, wurden die Abweichungen der resultierenden Messwerte von ihren jeweiligen Sollwerten miteinander verglichen. Die Ergebnisse zeigten eine bedingte Übereinstimmung zwischen realen und simulierten Daten. Um diese zu verbessern, wird eine standardisierte Methode zur Charakterisierung der realen CT-Systeme angestrebt. Darüber hinaus sollten Methoden entwickelt werden, die Charakterisierungsparameter in einer Simulationsumgebung hinreichend genau umzusetzen. KW - Computed tomography KW - Measurement uncertainty KW - Simulation KW - Digital twin PY - 2022 DO - https://doi.org/10.1515/teme-2022-0025 SP - 1 EP - 16 PB - De Gruyter CY - Berlin AN - OPUS4-55428 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 - 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 - JOUR A1 - Borges de Oliveira, F. A1 - Reuter, T. A1 - Plotzki, David A1 - Wohlgemuth, F. A1 - Bartscher, M. A1 - Bellon, Carsten A1 - Kasperl, S. T1 - Assessment of 2D-based tests for the qualification of simulation software for dXCT JF - Measurement Science and Technology N2 - The interest in using computer simulations of dimensional x-ray computed tomography (dXCT) for various metrological purposes—such as measurement planning, performance prediction, performance optimisation and, finally, measurement uncertainty estimation—is increasing along with the ever-growing demand for more reliable measurements with dXCT. However, before a piece of simulation software can be used for tasks related to coordinate metrology, it has to be ensured that it is able to simulate physical laws, characteristic effects and basic CT system functionalities correctly and with sufficient accuracy. In short, the software must be qualified for dimensional metrology tasks. As one part of such a qualification process, a method is presented here for determining conformity intervals of 2D tests (projection-based tests) based on 3D tests (testing based on dimensional evaluations in a reconstructed volume) for the assessment of dXCT simulation software. The method consists of varying relevant parameter values in order to verify their influence on 3D measurement results. The results of the 3D tests with varied parameter values are then transferred to the quantities tested in the 2D tests and used as the basis for determining conformity intervals. Two approaches are applied for determining whether or not a variation of a parameter value is significant: (a) statistical and (b) heuristic. Two examples are presented, each based on simulated images, which show the application of the two different approaches for determining conformity intervals for the results of the 2D tests. KW - dXCT KW - X-ray computed tomography KW - Simulation PY - 2023 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-573316 DO - https://doi.org/10.1088/1361-6501/acc1f9 VL - 34 IS - 6 SP - 1 EP - 12 PB - IOP Publishing AN - OPUS4-57331 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - 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 -