TY - CONF A1 - Bellon, Carsten T1 - Simulation based POD estimation for radiographic testing of turbine blades T2 - 5th European-American Workshop on Reliability of NDE CY - Berlin, Germany DA - 2013-10-07 PY - 2013 AN - OPUS4-29752 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - RPRT A1 - Bellon, Carsten T1 - Schlussbericht zum MNPQ-Projekt 18/11 - Simulationsbasierte Effizienzsteigerung bei Nanofokus-Röntgenröhren für höchstauflösende Materialprüfung N2 - Ziel des Projektes war, mit Hilfe von Computersimulationen die Brennfleckgröße, das Spektrum und die erreichbare Dosisleistung von Transmissionsröhren vorherzusagen sowie diese Kenngrößen zu optimieren. Hierbei sollten insbesondere die Materialien und Schichtdicken von Substrat und strahlungserzeugender Schicht untersucht werden. Eine Voraussetzung für die Überprüfung der Ergebnisse ist die reproduzierbare, korrekte messtechnische Erfassung von Brennfleckgrößen unterhalb 5 μm. KW - Brennfleckgröße KW - Röntgenröhre KW - Transmissionstarget KW - Computersimulation KW - Dosisleistung PY - 2015 SP - 1 EP - 13 PB - Bundesanstalt für Materialforschung und -prüfung (BAM) CY - Berlin AN - OPUS4-39192 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Schmitt, R. A1 - Koerfer, F. A1 - Sadowny, O. A1 - Zimmermann, J. A1 - Krüger-Sehm, R. A1 - Xu, M. A1 - Dziomba, T. A1 - Koenders, L. A1 - Goch, G. A1 - Tausendfreund, A. A1 - Patzelt, S. A1 - Simon, S. A1 - Rockstroh, L. A1 - Bellon, Carsten A1 - Staude, Andreas A1 - Woias, P. A1 - Goldschmidtböing, F. A1 - Rabold, M. T1 - Virtuelle Messgeräte - Definition und Stand der Entwicklung N2 - Die Mikro- und Nanotechnologie gehört zu den Schlüsseltechnologien des 21. Jahrhunderts mit hohen Wachstumsprognosen, wie auch die im Auftrag des BMBF durchgeführte Studie “Nanotechnologie als wirtschaftlicher Wachstumsmarkt” von 2004 ausführlich darstellt. Aus diesem Trend resultiert ein steigender Bedarf an Messsystemen, die Nanostrukturen prozessnah bzw. im Fertigungsprozess charakterisieren können. Virtuelle Messgeräte liefern Erkenntnisse zur Entwicklung neuartiger Messsysteme, Analyse und Optimierung bestehender Verfahren sowie die Bestimmung der Messunsicherheit und modellbasierten Korrektur systematischer Fehler. Der virtuelle Messprozess umfasst neben dem Messmittel auch die Probe und die Wechselwirkungen zwischen beiden. In diesem Beitrag werden virtuelle Messgeräte vorgestellt sowie deren Anwendung diskutiert. N2 - Micro- and nanotechnology experienced a high economic growth in recent years. This yields in a growing demand for measuring instruments which are closely linked to the production process. Virtual measuring instruments provide knowledge for the development of new systems, the analysis and optimization of established devices as well as the determination of the uncertainty in measurement. The virtual measuring process consists of the measuring instrument, the sample, and the interaction between both. In this article examples of current developments of virtual instruments are presented and their way of utilization is discussed. KW - Virtuelle Messtechnik KW - Simulation KW - Messunsicherheit KW - Virtual metrology KW - Measurement uncertainty PY - 2008 DO - https://doi.org/10.1524/teme.2008.0872 SN - 0340-837X SN - 0178-2312 SN - 0171-8096 VL - 75 IS - 5 SP - 298 EP - 310 PB - Oldenbourg CY - München AN - OPUS4-17569 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - GEN A1 - Ewert, Uwe A1 - Beckmann, Jörg A1 - Bellon, Carsten A1 - Jaenisch, Gerd-Rüdiger A1 - Zscherpel, Uwe A1 - Jechow, Mirko A1 - Großer, A. T1 - Fehlergrößenabhängige Kontrastreduktion und zusätzliche Unschärfe durch Streustrahlung reduzierendie Bildqualität radiologischer Abbildungen - Film und digitale Detektoren im Vergleich T2 - DACH-Jahrestagung 2008 - Zerstörungsfreie Materialprüfung, ZfP in Forschung, Entwicklung und Anwendung CY - St. Gallen, Schweiz DA - 2008-04-28 KW - Digitale Radiologie KW - Streuverhältnis KW - Strahlenkontrast KW - Unschärfe PY - 2008 SN - 978-3-940283-09-2 IS - DGZfP-BB 113 (Di.1.A.1) SP - 133 EP - 144 AN - OPUS4-18349 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Gollwitzer, Christian A1 - Bellon, Carsten A1 - Deresch, Andreas A1 - Ewert, Uwe A1 - Jaenisch, Gerd-Rüdiger A1 - Zscherpel, Uwe A1 - Mistral, Q. ED - Thompson, D. O. ED - Chimenti, D. E. T1 - Simulation supported POD for RT test case - concept and modeling N2 - Within the framework of the European project PICASSO, the radiographic simulator aRTist (analytical Radiographic Testing inspection simulation tool) developed by BAM has been extended for reliability assessment of film and digital radiography. NDT of safety relevant components of aerospace industry requires the proof of probability of detection (POD) of the inspection. Modeling tools can reduce the expense of such extended, time consuming NDT trials, if the result of simulation fits to the experiment. Our analytic simulation tool consists of three modules for the description of the radiation source, the interaction of radiation with test pieces and flaws, and the detection process with special focus on film and digital industrial radiography. It features high processing speed with near–interactive frame rates and a high level of realism. A concept has been developed as well as a software extension for reliability investigations, completed by a user interface for planning automatic simulations with varying parameters and defects. Furthermore, an automatic image analysis procedure is included to evaluate the defect visibility. The radiographic modeling from 3D CAD of aero engine components and quality test samples are compared as a precondition for real trials. This enables the evaluation and optimization of film replacement for application of modern digital equipment for economical NDT and defined POD. T2 - 38th Annual Review of Progress in Quantitative Nondestructive Evaluation CY - Burlington, VT, USA DA - 2011-07-17 KW - X-ray imaging KW - Probability of detection KW - Simulation KW - ZfP KW - Radiographie KW - POD PY - 2012 SN - 978-0-7354-1013-8 DO - https://doi.org/10.1063/1.4716283 SN - 0743-0760 SN - 0094-243X N1 - Serientitel: AIP conference proceedings – Series title: AIP conference proceedings VL - 31 IS - 1430 SP - 605 EP - 612 PB - American Institute of Physics CY - Melville, NY AN - OPUS4-26696 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Bellon, Carsten T1 - Mobile Röntgen-Computer-Tomografie mit dem TomoCAR-System T2 - Zerstörungsfreie Prüfungen in der Kerntechnik CY - Hamburg, Germany DA - 2013-09-18 PY - 2013 AN - OPUS4-29322 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Redmer, Bernhard A1 - Bellon, Carsten A1 - Malitte, Hans-Joachim A1 - Sölter, B. T1 - Reduction of radiation exposure through the application of new detector techniques in industrial radiography T2 - 5th Workshop on "Industrial Radiography - Improvements in Radiation Protection" CY - Rome, Italy DA - 2001-10-17 PY - 2001 SP - 1(?) EP - 24(?) AN - OPUS4-1217 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 - Reuter, T. A1 - Wohlgemuth, F. A1 - Bellon, Carsten A1 - Hausotte, T. T1 - Measurement-based Detector Characteristics for Digital Twins in aRTist 2 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 - Haith, M. I. A1 - Ewert, Uwe A1 - Hohendorf, Stefan A1 - Bellon, Carsten A1 - Deresch, Andreas A1 - Huthwaite, P. A1 - Lowe, M. J. S. A1 - Zscherpel, Uwe T1 - Modelling based radiography for NDE of subsea pipelines N2 - This work presents the use of limited experimental measurements to develop a set of calibrated Simulation parameters that can then be used for reliable simulation of subsea pipeline inspections. The modelling software aRTist is used as the simulation tool, and the calibration is through comparison with experimental images of a well characterised sample in a water tank. Image Quality parameters such as signal-to-noise ratio, contrast and basic spatial resolution are compared with the aim of matching simulated values to experimental results. Currently the model is partially calibrated, with signal-to-noise ratio successfully matched while differences are still found in contrast-to-noise ratio comparisons. This means that measurements depending on absolute intensity are not accurate enough in the simulation at this stage. However, the simulation is found to be accurate for wall thickness measurements in tangential images, which are not based on absolute intensity, with simulated and experimental cases producing similar results. T2 - 42nd Annual Review of Progress CY - Minneapolis, Minnesota, USA DA - 26.07.2015 KW - Modelling KW - Radiography KW - Pipeline inspection KW - Nondestructive evaluation PY - 2016 SN - 978-0-7354-1353-5 DO - https://doi.org/10.1063/1.4940575 SN - 0094-243X VL - 1706 SP - 110004-1 EP - 110004-8 PB - AIP Publishing AN - OPUS4-37553 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Ewert, Uwe A1 - Redmer, Benrhard A1 - Schumacher, David A1 - Thiessenhusen, Kai-Uwe A1 - Bellon, Carsten A1 - Nicholson, P. I. A1 - Clarke, A. L. A1 - Finke-Härkönen, K.-P. T1 - X-ray tomographic in-service inspection of girth welds – the european project tomoweld N2 - The new standard ‘ISO 17636-2:2013: Non-destructive testing of welds — Radiographic testing — Part 2: X- and gamma-ray techniques with digital detectors’, defines the practice for radiographic inspection of welded pipes for manufacturing and in-service inspection. It is applied in Europe for inspections of pipe welds in nuclear power plants as well as in chemical plants and allows a faster inspection with digital detector arrays (DDA) than with film. Nevertheless, it does not allow the evaluation of the depth and shape of volumetric and planar indications. In 2001 a planar tomography scanner, TomoCAR, was introduced for mechanized radiographic testing (RT) inspection and non-destructive measurement of cross sections. The project TomoWELD is based on a new concept of the scan geometry, an enhanced GPU based reconstruction, and the application of a new generation of photon counting DDAs based on CdTe crystal CMOS hybrids. The new detector permits the selection of energy thresholds to obtain an optimum energy range and reduction of the influence of scattered radiation. The concept and first measurements are presented. Flaw depth and shape of volumetric and planar irregularities can be determined. T2 - QNDE 2014 CY - Boise, Idaho, USA DA - 20.07.2014 KW - X-ray imaging KW - Tomography KW - Engineering inspection KW - Radiography KW - Welded joints KW - Chemical plants PY - 2015 SN - 978-0-7354-1292-7 DO - https://doi.org/10.1063/1.4914650 SN - 0094-243X N1 - Geburtsname von Schumacher, David: Walter, D. - Birth name of Schumacher, David: Walter, D. VL - 1650 SP - 525 EP - 533 PB - American Institute of Physics AN - OPUS4-36581 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Bellon, Carsten T1 - aRTist – An Industrial-Radiology Simulator Using Tcl/Tk & VTK N2 - Industrial radiography or Radiographic Testing (RT) is a method of non-destructive testing where many types of manufactured components can be examined to verify the internal structure and integrity of the specimen. The computer program aRTist can generate synthetic radiographs from a virtual RT test set-up. In the field of industrial radiology simulation is used, e.g. to optimize techniques for complex applications, to support the preparation of written procedures, and for education purposes. The simulator aRTist combines analytical and Monte Carlo methods to efficiently model the radiation transport. The program comes with a graphical user interface written in Tcl/Tk. In combination of Tcl/Tk and the 3D capabilities of the visualization toolkit (VTK) a practical and convenient simulator has been realized. This will be illustrated by discussing application scenarios of classical radiography, X-ray computer tomography, and X-ray backscatter imaging. Additionally, some insight to the software implementation of the simulator will be given. T2 - EuroTCL 2017, 15th European Tcl/Tk User Meeting CY - Berlin, Germany DA - 08.07.2017 KW - Simulation KW - Radiography KW - Computed tomography PY - 2017 AN - OPUS4-43153 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Koller, C. S. A1 - Hönow, B. A1 - Bellon, Carsten A1 - Börner, F. D. T1 - Detection of vertical movement of fluids behind the casing of groundwater observation wells N2 - Focus of this work is the detection of vertical movements behind the casing of groundwater observation wells within the seal. A new multi-methodical and azimuthal logging tool, named Azimuthal-Annulus-Convection-Identification (AACI)-Log has been developed and tested. The measurement concept of this probe is based on the combination of three azimuthal measuring logs – contact temperature on the inside of the casing wall, backscattered gamma-rays (gamma-gamma density), and natural radioactivity (gamma ray). Consequently, a direction-oriented image of the annular space can be derived. Not only the reason (void, potential channel) but also the resulting effect (vertical movement of fluids) can be detected with the Azimuthal-Annulus-Convection (AACI) – Log at the same time. KW - Azimuthal temperature field KW - Vertical fluid movement KW - Groundwater observation well KW - Azimuthal well logging KW - Direction-oriented image KW - Annular space PY - 2016 DO - https://doi.org/10.1504/IJHST.2016.079336 SN - 2042-7808 VL - 6 IS - 4 SP - 301 EP - 330 PB - Inderscience Publishers CY - Olney, UK AN - OPUS4-43158 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - GEN A1 - Müller, Christina A1 - Zscherpel, Uwe A1 - Ewert, Uwe A1 - Rosenthal, Martina A1 - Bellon, Carsten A1 - Jaenisch, Gerd-Rüdiger ED - Madalgue, X. P. V. T1 - Reliability investigation of NDE signals N2 - The reliability investigations are dedicated to throw light on the performance of the NDE system with respect to the required aim. This is especially of interest when digitized and processed signals are involved where it becomes hard to assess whether the quality of the system has raised or not. Three different ways to investigate reliability of NDE signals will be described. The first way of investigation, the performance demonstration, is preferred e.g. in the US American nuclear power industry. This is an integral consideration of the non destructive test as a system where the whole NDE system is packed in a black box and only the input in terms of the real existing flaws in the component is considered and compared to the output in terms of the indications of the human inspector or of the automated system. The second – the European tradition – relies on a standardized description of physical/technical parameters of the NDE system which are preconditions for successful system performance. An example for such a standardized set of performance parameters is given in the recently released standard about Xray film digitization CEN EN 14096. The third approach – the modular conception – is a marriage of both: The signal chain is cut into main modules. Each module is assessed in a most appropriate individual way e.g. via modeling calculations. The single results are joint together according to the reliability of the subsystems. Separating criteria for the system were proposed through a reliability formula developed during a series of European-American workshops on NDE reliability. Examples of all three approaches will be given. T2 - 4th International Workshop - Advances in Signal Processing for Nondestructive Evaluation of Materials CY - Québec, Canada DA - 2001-08-07 KW - Reliability of NDE Systems KW - Performance Demonstration KW - Essential Parameters KW - European Standards KW - Radiographic Testing KW - Film Digitalization KW - Austenitic Tube Welds KW - ROC KW - POD PY - 2002 UR - http://intl.gel.ulaval.ca/image_site/abs_quebec_01.pdf SN - 1-571-17091-X N1 - Geburtsname von Rosenthal, Martina: Scharmach, M. - Birth name of Rosenthal, Martina: Scharmach, M. N1 - Geburtsname von Jaenisch, Gerd-Rüdiger: Tillack, G.-R. - Birth name of Jaenisch, Gerd-Rüdiger: Tillack, G.-R. N1 - Serientitel: Topics on nondestructive evaluation series – Series title: Topics on nondestructive evaluation series IS - 6 SP - 61 EP - 72 PB - American Society for Nondestructive Testing CY - Columbus, Ohio AN - OPUS4-2007 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Jaenisch, Gerd-Rüdiger A1 - Bellon, Carsten ED - Thompson, D. O. T1 - Special Features in Radiography Accessed by 3D Monte Carlo Model N2 - Standard radiography simulators are based on the attenuation law complemented by built-up-factors (BUF) to describe the interaction of radiation with material. The assumption of BUF implies that scattered radiation reduces only the contrast in radiographic images but does not image object structures itself. This simplification holds for a wide range of applications like weld inspection as known from practical experience. But only a detailed description of the different underlying interaction mechanisms is capable to explain effects like mottling or others that every radiographer has experienced in practice. The application of the N-Particle Monte Carlo code MCNP is capable to handle primary and secondary interaction mechanisms contributing to the image formation process like photon interactions (absorption, incoherent and coherent scattering including electron-binding effects, pair production) and electron interactions (electron tracing including X-Ray fluorescence and Bremsstrahlung production). Additionally it opens up possibilities like the separation of influencing factors and the understanding of the functioning of intensifying screen used in film radiography. The paper intends to discuss the opportunities in applying the Monte Carlo method to investigate special features in radiography in terms of selected examples. It is important to note that the use of Monte Carlo methods is a laboratory type of technique for basic investigations because of the enormous computing power that is needed. For in-field applications such as for inspection planing simplified models are of much greater importance and increasingly in use. ©2003 American Institute of Physics T2 - 29th Annual Review of Progress in Quantitative Nondestructive Evaluation CY - Bellingham, WA, USA DA - 2002-07-14 PY - 2003 SN - 0-7354-00117-9 DO - https://doi.org/10.1063/1.1570183 SN - 0743-0760 SN - 0094-243X N1 - Geburtsname von Jaenisch, Gerd-Rüdiger: Tillack, G.-R. - Birth name of Jaenisch, Gerd-Rüdiger: Tillack, G.-R. SP - 537 EP - 544 PB - American Institute of Physics CY - Melville, NY AN - OPUS4-2777 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Bellon, Carsten T1 - Virtual CT with aRTist N2 - Simulation becomes more and more important in modern CT imaging. It is increasingly used to optimize techniques for complex applications, to support the preparation of written procedures, and for educational purposes. The radiographic simulator aRTist is a modelling tool which simulates X-ray imaging using a hybrid analytical and Monte Carlo method to efficiently model the radiation transport. In addition to the relevant physical effects such as absorption, scattering and fluorescence, simplified fast models are employed to describe the characteristics of the X-ray source and the detector. aRTist is well equipped to model realistic X-ray imaging setups due to the ability to load exported CAD object descriptions. A simple CT scan module is contained in aRTist which allows the simulation of standard (circular cone beam) scanning trajectories. This training session starts with a general introduction to aRTist and will highlight its basic usage. Furthermore, the focus is on the configuration of scan trajectories and batch simulations for virtual CT. The aim is to enable the audience to use the aRTist software for their own experiments in virtual CT. T2 - dXCT conference 2021 CY - Online meeting DA - 17.05.2021 KW - computed tomography simulation PY - 2021 AN - OPUS4-54062 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Bircher, B. A1 - Meli, F. A1 - Küng, A. A1 - Bellon, Carsten A1 - Evsevleev, Sergei A1 - Katic, M. A1 - Heikkinen, V. A1 - Hemming, B. A1 - Lassila, A. T1 - Traceable determination of non-static XCT machine geometry: New developments and case studies N2 - It is fundamental to determine the machine geometry accurately for dimensional X-ray computed tomography (XCT) measurements. When performing high-accuracy scans, compensation of a non-static geometry, e.g. due to rotary axis errors or drift, might become necessary. Here we provide an overview of methods to determine and account for such deviations on a per projection basis. They include characterisation of stage error motions, in situ geometry measurements, numerical simulations, and reconstruction-based optimization relying on image quality metrics and will be discussed in terms of their metrological performance. Since a radiographic calibration is always required to provide an initial absolute geometry, this method will be presented as well. The improvements of the XCT geometry correction methods are presented by means of case studies. The methods can be applied individually or in combination and are intended to provide a toolbox for XCT geometry compensation. T2 - 11th Conference on Industrial Computed Tomography (iCT 2022) CY - Online meeting DA - 08.02.2022 KW - Radiographic XCT geometry determination KW - Dimensional metrology KW - traceability KW - XCT machine geometry KW - Calibrated reference standards PY - 2022 SP - 1 EP - 10 PB - Research Group Computed Tomography, Upper Austrian University of Applied Sciences (FH OÖ) CY - Wels, Austria AN - OPUS4-54479 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 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 - 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 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 - Binder, F. A1 - Bellon, Carsten A1 - Wohlgemuth, F. A1 - Hausotte, T. T1 - Ein praxisnaher Leitfaden für computertomografische Untersuchungen mit der radiografischen Simulationsumgebung aRTist 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 - Brierley, N. A1 - Bellon, Carsten A1 - Lazaro Toralles, B. T1 - Optimized multi-shot imaging inspection design N2 - The inspection of complex-shaped components, such as those enabled by additive manufacturing, is a major challenge in industrial quality assurance. A frequently adopted approach to volumetric non-destructive evaluation is X-ray computed tomography, but this has major drawbacks. Two-dimensional radiography can overcome some of these problems, but does not generally provide an inspection that is as capable. Moreover, designing a detailed inspection for a complex-shaped component is a labour-intensive task, requiring significant expert input. In response, a computational framework for optimizing the data acquisition for an image-based inspection modality has been devised. The initial objective is to advance the capabilities of radiography, but the algorithm is, in principle, also applicable to alternative types of imaging. The algorithm exploits available prior information about the inspection and simulations of the inspection modality to allow the Determination of the optimal inspection configuration, including specifically component poses with respect to the imaging system. As an intermediate output, spatial maps of inspection performance are computed, for understanding spatially varying limits of detection. Key areas of innovation concern the defect detectability evaluation for arbitrarily complex indications and the creation of an application-specific optimization algorithm. Initial trials of the algorithm are presented, with good results. KW - Inspection design and planning KW - Optimization KW - Radiography KW - Simulation PY - 2018 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-458363 DO - https://doi.org/10.1098/rspa.2017.0319 SN - 1471-2946 SN - 1364-5021 VL - 474 IS - 2216 SP - 70319, 1 EP - 25 PB - The Royal Society CY - London AN - OPUS4-45836 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -