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Publication | Date |
2019-11 DIR 2019 CT & Multi-angle Radiography Multimodal Transfer Functions for Talbot-Lau Grating Interferometry Data L. Da Cunha Melo1 2, B. Fröhler2 6, C. Heinzl2 38, J. Kastner2 120, J. Weissenböck2 11 1Vienna University of Technolog (TU) 57, Vienna, Austria 2Upper Austrian University of Applied Sciences (FH OÖ) 166, Wels, Austria Other Methods, Computed Tomography, Talbot-Lau Grating Interferometry
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Talbot-Lau grating interferometry X-ray computed tomography (TLGI-XCT) generates three modalities depicting different features in the scanned specimen. The combination of two or even all three modalities is often required for an in-depth analysis of the material. We present a multimodal transfer function widget for this purpose. It enables users to edit the combined transfer functions of three modalities, resulting in a customized fused image. We implement methods to arrange the individual transfer functions in two different intuitive layouts. The weighting for each modality can be easily modified and the resulting fusion image is immediately updated. We provide a combined histogram over all modalities within a triangular visualization which we call trimodal heatmap. Through this interactive analysis technique, the user can quickly gain insights into the analysed material. We show the effectiveness of our technique with the help of real-world TLGI-XCT datasets.
| DIR 2019 Session: CT & Multi-angle Radiography | 2019-11 |
2019-03 iCT 2019 Algorithms & Reconstruction Wed 16:20 Auditorium An Interactive Visual Comparison Tool for 3D Volume Datasets represented by Nonlinearly Scaled 1D Line Plots through Space-filling Curves J. Weissenböck1 11, B. Fröhler1 6, E. Gröller2 11, J. Sanctorum3 3, J. De Beenhouwer3 15, J. Sijbers3 18, S. Ayalur Karunakaran4 2, H. Hoeller4 2, J. Kastner1 120, C. Heinzl1 38 1Research Group Computed Tomography; Upper Austrian University of Applied Sciences (FH OÖ) 166, Wels, Austria 2Institute of Computer Graphics and Algorithms; Vienna University of Technolog (TU) 57, Vienna, Austria 3aInstitute of Computer Graphics and Algorithms bimec-VisionLab, Department of Physics; University of Antwerpen 34, Antwerpen, Belgium 4Fischer Advanced Composite Components (FACC) 15, Ried, Austria Radiographic Testing (RT), Other Methods, X-ray computed tomography, visual analysis, comparative visualization, Hilbert curve, nonlinear scaling
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The comparison of many 3D volumes to find subtle differences is tedious, time-consuming and error-prone. Previously we presented Dynamic Volume Lines [1], a novel tool for the interactive visual analysis and comparison of ensembles of 3D volumes, which are linearized using Hilbert spacing-filling curve and represented as 1D line plots. In this paper we further demonstrate the usefulness and capabilities of our method by conducting a detailed visual analysis and evaluation of an artificial specimen from simulated 3D X-Ray Computed Tomography (XCT) and a real-world XCT titanium alloy specimen.
| iCT 2019 Session: Algorithms & Reconstruction Wed 16:20 Auditorium | 2019-03 |
2019-03 iCT 2019 Short talks Thu 13:50 Auditorium Tools for the Analysis of Datasets from X-Ray Computed Tomography based on Talbot-Lau Grating Interferometry B. Fröhler1 6, L. Da Cunha Melo2 2, J. Weissenböck1 11, J. Kastner1 120, T. Möller3 2, H. Hege4 , E. Gröller2 11, J. Sanctorum5 3, J. De Beenhouwer5 15, J. Sijbers5 18, C. Heinzl1 38 1Research Group Computed Tomography; Upper Austrian University of Applied Sciences (FH OÖ) 166, Wels, Austria 2VRVis Research Center; Vienna University of Technolog (TU) 57, Vienna, Austria 3Faculty of Computer Science; University of Vienna 4, Vienna, Austria 4Konrad-Zuse-Institut Berlin (ZIB) 19, Berlin, Germany 5University of Antwerpen 34, Antwerpen, Belgium Radiographic Testing (RT), Other Methods, image fusion, multimodal data, transfer function design, image segmentation uncertainty
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This work introduces methods for analyzing the three imaging modalities delivered by Talbot-Lau grating interferometry X-ray
computed tomography (TLGI-XCT). The first problem we address is providing a quick way to show a fusion of all three modalities.
For this purpose the tri-modal transfer function widget is introduced. The widget controls a mixing function that uses the
output of the transfer functions of all three modalities, allowing the user to create one customized fused image. A second problem
prevalent in processing TLGI-XCT data is a lack of tools for analyzing the segmentation process of such multimodal data. We
address this by providing methods for computing three types of uncertainty: From probabilistic segmentation algorithms, from
the voxel neighborhoods as well as from a collection of results. We furthermore introduce a linked views interface to explore
this data. The techniques are evaluated on a TLGI-XCT scan of a carbon-fiber reinforced dataset with impact damage. We show
that the transfer function widget accelerates and facilitates the exploration of this dataset, while the uncertainty analysis methods
give insights into how to tweak and improve segmentation algorithms for more suitable results.
| iCT 2019 Session: Short talks Thu 13:50 Auditorium | 2019-03 |
open_iA: A Framework for Analyzing Industrial Computed Tomography Data B. Fröhler 6, M. Arikan 4, J. Weissenböck 11, A. Amirkhanov 2, C. Heinzl 38, J. Kastner 120 Upper Austrian University of Applied Sciences (FH OÖ) 166, Wels, Austria Image processing, Tomography
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The open source software open_iA is presented, which facilitates non-destructive testing tasks such as feature extraction, quantification and visualization involving industrial computed tomography datasets. open_iA provides a general framework for visualizing and processing volumetric datasets, including a 3D view, axis-aligned slicers, as well as a wide variety of image processing algorithms for pre-processing of the data for the subsequent analysis. Pluggable modules provide tailored analysis tools for specific scenarios. In this work the structure of the tool open_iA itself and a selection of its modules are outlined.
| ECNDT 2018 Session: Poster | 2018-08 |
Parameter-Space Exploration for Computed Tomography Image Analysis Algorithms B. Fröhler1 6, C. Heinzl1 38, J. Kastner1 120, T. Möller2 2 1Research Group Computed Tomography; Upper Austrian University of Applied Sciences (FH OÖ) 166, Wels, Austria 2Visualization and Data Analysis Research Group; University of Vienna 4, Vienna, Austria segmentation, Computed Tomography, visualization, parameter space exploration, multimodal segmentation, image processing
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We present a tool which supports CT specialists in exploring the parameter and result space of volume segmentation pipelines. In a preprocessing step, the user samples the parameter space of a number of pipelines to be analysed. Our sampling tool supports arbitrary pipeliness that can be parametrized via the command line. The user can then explore the space of possible results of the sampled pipelines in an interactive visualization tool. This visualization tool highlights the variation resulting from different parametrizations and pipelines, and allows exploring the influence of each parameter. We evaluate our tool on the multimodal segmentation of a carbon-fiber-reinforced polymer (CFRP) specimen with impact damage, scanned with a Talbot-Lau Grating Interferometer Computed Tomography device.
| iCT 2017 Session: Poster | 2017-03 |
2014-06 iCT 2014 Dimensional Measurement Uncertainty in CT Metrology: Visualizations for Exploration and Analysis of Geometric Tolerances A. Amirkhanov1 3, B. Fröhler1 6, M. Reiter1 25, J. Kastner1 120, M. Grӧller2 , C. Heinzl1 38 1R&D Competence Center; Upper Austrian University of Applied Sciences (FH OÖ) 166, Wels, Austria 2Institute of Computer Graphics and Algorithms; Vienna University of Technolog (TU) 57, Vienna, Austria Industrial 3D computed tomography, uncertainty visualization, level-of-details, metrology
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Industrial 3D X-ray computed tomography (3DXCT) is increasingly applied as a technique for metrology applications. In contrast to comventional metrology tools such as coordinate measurement machines (CMMs). 3DXCT only estimates the exact position of the specimen’s surface and is subjected to a specific set of artifact types. These factors result in uncertainty that is present in the data. Previous work by Amirkhanov et. al [2] presented a tool prototype that is taking such uncertainty into account when measuring geometric tolerances such as straightness, circularity, or flatness. In this paper we extend the previous work with two more geometric tolerance types: cylindricity and angularity. We provide methods and tools for visualization, inspection, and analysis of these tolerances. For the cylindricity tolerance we employ neighboring profiles visualization, box-plot overview, and interactive 3D view. We evaluate applicability and usefulness our methods on a new TP03 data set, and present results and new potential use cases.
| iCT 2014 Session: Dimensional Measurement | 2014-06 |
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