Tomography of Materials and Structures最新文献

{"title":"Individual component-based parameter-adaptive segmentation approach for improved segmentation of synchrotron µCT data of osteocyte lacunae in bone tissue","authors":"Jan Mölich ,&nbsp;Sophie Anuth ,&nbsp;Jussi-Petteri Suuronen ,&nbsp;Emely Bortel ,&nbsp;Javier Gerber ,&nbsp;Enni Mattern ,&nbsp;Timm Weitkamp ,&nbsp;Katja Nelson ,&nbsp;Susanne Nahles ,&nbsp;Bernhard Hesse","doi":"10.1016/j.tmater.2025.100066","DOIUrl":"10.1016/j.tmater.2025.100066","url":null,"abstract":"<div><div>Bone tissue is highly complex and dynamic, capable of adapting to mechanical demands and repairing itself through remodeling processes. This remodeling results in a heterogeneous mineral distribution, with lower mineralization in younger bone regions and higher mineralization in older ones. Osteocytes - bone cells residing in small lacunae within the mineralized bone matrix - orchestrate this remodeling. Additionally, osteocytes actively modify their peri-lacunar mineralized tissue. These characteristics, combined with the high osteocyte density of several tens of thousands per mm³ , make the distribution, size, and shape of osteocyte lacunae highly relevant characteristics of bone tissue. To study osteocyte lacunar properties, synchrotron-based computed tomography (µCT) has become increasingly popular over the past decade due to its combination of high spatial resolution, sensitivity to mineral density variations, and rapid data acquisition. However, segmenting lacunae and quantifying their properties remains challenging. Osteocyte lacunae exhibit diverse shapes and sizes, and their surrounding mineral density can vary significantly between lacunae, even within the same tissue sample. Consequently, no global gray value threshold can provide an equally accurate segmentation across different tissue regions within the same sample. More advanced segmentation techniques, such as those based on top-hat transformations, require the definition of a structuring element whose size must be tailored to the feature size, in this case, the lacunae. In this study, we propose a novel approach to segmentation that adjusts the threshold value and the size of the structuring element for each lacuna individually. This method, referred to as the Kangaroo Segmentation Approach, involves an initial rough segmentation, followed by connected-component analysis and refinement steps applied to each component. The results of this Kangaroo Segmentation Approach are compared with conventional Otsu thresholding and thresholding methods based on top-hat transformations. Our findings demonstrate a significant improvement in segmentation accuracy with the proposed method.</div></div>","PeriodicalId":101254,"journal":{"name":"Tomography of Materials and Structures","volume":"8 ","pages":"Article 100066"},"PeriodicalIF":0.0,"publicationDate":"2025-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143847897","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Measuring thermal curing induced shrinkage of material extrusion based additive manufacturing silicone elastomer lattices by X-ray computed tomography","authors":"Massimiliano Ferrucci ,&nbsp;Anne-Françoise Obaton ,&nbsp;Robert Cerda ,&nbsp;Brian Au ,&nbsp;Nicholas Rodriguez ,&nbsp;Ziad Ammar ,&nbsp;Gabriel Balensiefer ,&nbsp;Chuck Divin ,&nbsp;Jeremy Lenhardt ,&nbsp;Brian Giera","doi":"10.1016/j.tmater.2025.100064","DOIUrl":"10.1016/j.tmater.2025.100064","url":null,"abstract":"<div><div>Thermal curing induces shrinkage in material extrusion based additive manufacturing silicone elastomer samples, resulting in discrepancies between as printed and final geometries. Knowing the extent to which the samples change in shape and size allows us to make appropriate modifications to the printing design to better control the geometry of the samples. We present an X-ray computed tomography (CT) based approach to determine filament-level shrinkage due to thermal curing of silicone elastomer samples printed with direct ink writing (DIW). The approach relies on custom-designed build plates that are resistant to the elevated curing temperatures and that have sufficiently distinct X-ray absorption characteristics from the silicone elastomer to ensure adequate segmentation of the latter in X-ray imaging data. We implement the approach to evaluate shrinkage in DIW ‘log pile’ samples with three distinct strand arrangements and demonstrate of how filament-level information can be extracted from the X-ray CT data.</div></div>","PeriodicalId":101254,"journal":{"name":"Tomography of Materials and Structures","volume":"8 ","pages":"Article 100064"},"PeriodicalIF":0.0,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143820724","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"In-depth analysis of CT resolution impact on porosity evaluation in laser powder bed fusion additive manufacturing","authors":"Jitendra Singh Rathore ,&nbsp;Andrew King ,&nbsp;Florian Le Bourdais ,&nbsp;Jean-Paul Garandet","doi":"10.1016/j.tmater.2025.100065","DOIUrl":"10.1016/j.tmater.2025.100065","url":null,"abstract":"<div><div>Accurate porosity determination of Additive Manufacturing (AM) parts remains a key challenge. This study provides an in-depth analysis of how computed tomography (CT) resolution affects porosity detection in Laser Powder Bed Fusion (LPBF) manufactured parts by comparing X-ray based measurements from laboratory and synchrotron sources. To represent a range of porosity levels, three samples were selected from an extensive set of LPBF experiments, of respectively low, medium, and high porosities. A laboratory source based computed tomography system was used for the acquisition at the best resolution considering the size limitation due to the sample geometry. In order to achieve higher resolution, a synchrotron source was additionally utilized. The comparative analysis revealed that the porosity measurements from both the laboratory and synchrotron sources were in good agreement for samples with low and high porosity levels. This indicates that for extreme ends of the studied porosity spectrum, laboratory CT systems can provide reliable measurements. However, for the sample with medium porosity, the limited resolution of the laboratory CT leads to an overestimation compared to the synchrotron CT results. This discrepancy is found to be due to inaccuracies in detecting and clustering neighboring pores, leading to an overestimation of porosity. A comparison of the obtained results with the porosity determinations by the widely used Archimedes method is proposed to show the potential and the limitations of each technique for the assessment of additively manufactured parts.</div></div>","PeriodicalId":101254,"journal":{"name":"Tomography of Materials and Structures","volume":"8 ","pages":"Article 100065"},"PeriodicalIF":0.0,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143817483","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimizing µCT resolution in tarsal bones: A comparative study of super-resolution models for trabecular bone analysis","authors":"Sascha Senck ,&nbsp;Patrick Weinberger ,&nbsp;Lukas Nepelius ,&nbsp;Andreas Haghofer ,&nbsp;Birgit Woegerer ,&nbsp;Jonathan Glinz ,&nbsp;Miroslav Yosifov ,&nbsp;Lukas Behammer ,&nbsp;Johann Kastner ,&nbsp;Klemens Trieb ,&nbsp;Elena Kranioti ,&nbsp;Stephan Winkler","doi":"10.1016/j.tmater.2025.100063","DOIUrl":"10.1016/j.tmater.2025.100063","url":null,"abstract":"<div><div>Microcomputed tomography (µCT) is an essential tool for analyzing trabecular bone microarchitecture, yet its resolution is constrained by object size and acquisition time. To overcome these limitations, we implement a deep-learning-based super-resolution (SR) approach that enhances µCT image resolution while significantly reducing scan durations. Dry isolated tarsal bones (intermediate cuneiform) from 20 specimens were scanned using µCT at two resolutions, 80 µm voxel size (low resolution, LowRes) and 20 µm voxel size (high resolution, HiRes). Aligned LowRes and HiRes µCT data served as training data for SR reconstruction. In this study, we compare five SR models: 2D U-Net+ +, 3D SRCNN, 3D FSRCNN, 3D U-Net and a modified 3D U-Net model trained with a combined learned perceptual image patch similarity (LPIPS) and structural similarity (SSIM) loss function. The focus of this contribution is the application of these models based on real µCT data, rather than synthetically degraded images. Models were trained to learn volumetric representations for accurate restoration of trabecular bone microstructure. To assess SR image quality, we computed three image quality metrics (peak signal-to-noise ratio, SSIM and LPIPS) and evaluated bone morphometric parameters, i.e. average trabecular thickness (Tb.Th.) and bone volume fraction (BV/TV), across 95 regions of interest (ROI). RMSE was calculated for LowRes data and each SR model relative to HiRes data to quantify prediction accuracy. The results demonstrate that the 3D U-Net (LPIPS &amp; SSIM) model achieves the highest reconstruction accuracy, yielding the lowest RMSE values (12.93 µm for Tb.Th. and 1.3 % for BV/TV), outperforming all other SR models in our evaluation. Compared to standard low-resolution µCT, our approach reduces scan time from 58 min to 7 min per sample while preserving trabecular morphology with high fidelity. These results demonstrate the effectiveness of perceptual loss-based SR to real µCT data for morphological analysis, ensuring accurate trabecular reconstruction and mitigating overestimation artifacts caused by LowRes imaging and partial volume effects. Integrating SR with real µCT scans offers a promising strategy to reduce scan time to improve throughput in bone imaging workflows. Future work will expand the training dataset to enhance model generalization across diverse bone structures and imaging conditions.</div></div>","PeriodicalId":101254,"journal":{"name":"Tomography of Materials and Structures","volume":"8 ","pages":"Article 100063"},"PeriodicalIF":0.0,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143817482","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Coupling X-ray µCT, BSE, and QEMSCAN imaging to unravel details of water saturation and oil trapping in a Brazilian Pre-salt carbonate under oil-wet conditions","authors":"Ronaldo Herlinger Junior ,&nbsp;Mark Knackstedt ,&nbsp;Benjamin Young ,&nbsp;Lydia Knuefing ,&nbsp;Alexandre Campane Vidal","doi":"10.1016/j.tmater.2025.100061","DOIUrl":"10.1016/j.tmater.2025.100061","url":null,"abstract":"<div><div>The study of fluid saturation and oil entrapment in reservoirs is of great importance for understanding and characterizing multiphase flow, with economically significant implications. In this context, we examine the fluids configuration under oil-wet conditions in particulate carbonate reservoirs of the Brazilian Pre-salt, which host large quantities of oil. Hence, we conducted drainage and imbibition cycles on a grainstone carbonate sample from the Barra Velha Formation of Brazil’s Pre-salt integrating X-ray tomography, backscattered electrons (BSE), and QEMSCAN (quantitative evaluation of minerals by scanning electron microscopy) to understand fluid saturation and oil trapping under oil-wet conditions at pore-scale. The integration of µCT imaging with BSE and QEMSCAN significantly enhances our understanding of fluid saturation within the pore system, particularly in regions where X-ray imaging alone encounters limitations. QEMSCAN imaging, beyond resolving microporosity, provides critical insights into the mineralogical factors influencing fluid distribution, offering a deeper perspective on the saturation controls. Following the drainage and aging cycles, oil effectively displaced nearly all brine within the interparticle macropores, relegating the brine to small, isolated droplets formed through snap-off processes. Additionally, a significant proportion of intraparticle micro and macroporosity was occupied by oil after drainage, with further oil saturation occurring during aging, demonstrating the rock’s oil-wet affinity. Post-forced imbibition imaging revealed that nearly all the oil initially present in the interparticle macropores had been replaced by water, with only minor traces of oil remaining as thin films on mineral surfaces. Conversely, the intraparticle macro and micropores, which are typically less connected, retained most of the oil, highlighting the porous medium’s tendency to trap fluids in poorly connected regions. Finally, our experiments did not reveal any substantial effect of mineralogical variations on fluid saturation during any phase of the cycles. This suggests that the observed oil-wet condition is independent of relative mineralogical variations, particularly given the sample's dominance of calcite and dolomite. These results, although obtained from a facies type common in the Brazilian Pre-salt, elucidate the behavior in oil-wettable reservoirs, a common condition in various reservoirs around the world.</div></div>","PeriodicalId":101254,"journal":{"name":"Tomography of Materials and Structures","volume":"8 ","pages":"Article 100061"},"PeriodicalIF":0.0,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143785785","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A review of in-situ mechanical testing combined with X-ray microfocus computed tomography: Application and current challenges for biological tissues","authors":"Lara Mazy ,&nbsp;Greet Kerckhofs","doi":"10.1016/j.tmater.2025.100062","DOIUrl":"10.1016/j.tmater.2025.100062","url":null,"abstract":"<div><div>Biological tissues undergo physiological mechanical loading during their functioning <em>in vivo</em>. To properly respond to these mechanical signals, tissues have a highly complex microstructural organization. However, there is not yet sufficient knowledge about the link between their microstructural organization and their mechanical behaviour. Therefore, there is a need for methods to dynamically assess how the microstructure of biological tissues changes during mechanical loading. 4D-µCT is an imaging technique combining mechanical testing with X-ray microfocus computed tomography (µCT) imaging. It has been extensively used to visualize, at the micro-scale and in full 3D, the deformation of the microstructure of non-biological materials during mechanical loading. Additionally, postprocessing of the 4D-µCT datasets allowed 3D strain field calculations. This review aims to provide an overview of the current state of the art of the use of 4D-µCT specifically for the assessment of the mechanical behavior of biological tissue, and this both for mineralized and unmineralized tissues. We highlighted the advancements as well as the current limitations and challenges to overcome, such as the need for complex loading modes, the effect of X-rays on the mechanical behavior and the need to keep the samples hydrated during testing. We finally conclude with some future perspectives.</div></div>","PeriodicalId":101254,"journal":{"name":"Tomography of Materials and Structures","volume":"8 ","pages":"Article 100062"},"PeriodicalIF":0.0,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143820723","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Slip localization and grain boundary sliding analysis at sub-voxel resolution using phase contrast tomography","authors":"Pedro Damas Resende ,&nbsp;Damien Texier ,&nbsp;Julien Genée ,&nbsp;Malo Jullien ,&nbsp;Henry Proudhon ,&nbsp;Julien Réthoré ,&nbsp;Didier Bardel ,&nbsp;Wolfgang Ludwig","doi":"10.1016/j.tmater.2025.100060","DOIUrl":"10.1016/j.tmater.2025.100060","url":null,"abstract":"<div><div>Microplasticity of a polycrystalline Ni-based superalloy was investigated using phase contrast tomography (PCT) and laser scanning confocal microscopy (LSCM). Incremental tensile testing was performed on three miniaturized specimens to investigate strain localization at low plastic deformation at room temperature and 650 ^∘C. Microplasticity events, such as slip activity, deformation twinning, and grain boundary sliding, are free to emerge at the specimen surface and generate sub-micrometer topographic features. High resolution digital image correlation was conducted using LSCM to have a description of the in-plane and out-of-plane kinematics of the specimen surface. Despite slip amplitudes substantially smaller than the voxel size, PCT was capable to evidence the out-of-plane component of slip traces at the onset of plasticity. The technique was also used at 650 ^∘C, a temperature at which grain boundary sliding occurs, but surface reactivity is severe enough not to allow for topographic measurements using LSCM. Therefore, PCT was found particularly adapted to evidence “surface” microplasticity events hidden by an extra surface oxidation layer.</div></div>","PeriodicalId":101254,"journal":{"name":"Tomography of Materials and Structures","volume":"8 ","pages":"Article 100060"},"PeriodicalIF":0.0,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143632180","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"WebCT – OpenSource web-based GUI for real-time X-ray simulation","authors":"Iwan T. Mitchell ,&nbsp;Jean Michel Létang ,&nbsp;Llion Marc Evans ,&nbsp;Franck P. Vidal","doi":"10.1016/j.tmater.2025.100057","DOIUrl":"10.1016/j.tmater.2025.100057","url":null,"abstract":"<div><div>Scan planning for X-ray CT systems can be difficult due to the large number of elements affecting scan quality. The use of X-ray simulation can answer feasibility questions, however existing methods are focused on experts who are familiar with XCT and programming knowledge. WebCT is a user-centric application for performing virtual XCT scans with the validated X-ray simulator gVirtualXray. Focused on accessibility, the interface allows changing all scanning parameters; from tube characteristics to detector energy response, while allowing full-scale simulation and reconstruction in minutes. WebCT is available as a free, open-source application, giving full control over a virtual lab-CT or synchrotron system. Configurations can be saved, shared, or even imported from many popular XCT dataset formats. We demonstrate in this paper the use of WebCT as a scan planning tool, using a simple CAD mockup to select filtration based on transmission before scanning.</div></div>","PeriodicalId":101254,"journal":{"name":"Tomography of Materials and Structures","volume":"8 ","pages":"Article 100057"},"PeriodicalIF":0.0,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143680562","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Trajectory optimization for few-view robot-based CT: Transitioning from static to object-specific acquisition geometries","authors":"Maximilian Linde ,&nbsp;Wolfram Wiest ,&nbsp;Anna Trauth ,&nbsp;Markus G.R. Sause","doi":"10.1016/j.tmater.2025.100058","DOIUrl":"10.1016/j.tmater.2025.100058","url":null,"abstract":"<div><div>The advent of robot-based computed tomography systems accelerated the development of trajectory optimization methodologies, with the objective of achieving superior image quality compared to standard trajectories while maintaining the same or even fewer number of required projections. The application of standard trajectories is not only inefficient due to the lack of integration of available prior knowledge about the object under investigation but also suboptimal because of limited accessibility issues during scans of large components, which are common in robot-based computed tomography. In this work, we introduce an object-specific trajectory optimization technique for few-view applications, based on a 3D Radon space analysis using a <em>RANSAC</em> algorithm. In contrast to existing methods, this approach allows for object geometry specific projection views, which are no longer constrained by discretized initial view sets on predefined acquisition geometries. In addition to eliminating the effects of discretized initial sets, this technique offers a distinct advantage in scenarios of limited accessibility by enabling the avoidance of collision elements, unlike trajectory optimizations on predefined acquisition geometries and standard trajectories. Our results show that the presented technology outperforms standard trajectories of evenly distributed projection views on predefined geometries in both ideal accessibility and limited accessibility scenarios. According to the employed geometry-based image quality metrics, our approach allows for reductions of more than 50 % in the number of projection views while maintaining equivalent image quality.</div></div>","PeriodicalId":101254,"journal":{"name":"Tomography of Materials and Structures","volume":"7 ","pages":"Article 100058"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143550149","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Spectral X-ray computed tomography for the chemical identification of critical minerals","authors":"Florian Buyse ,&nbsp;Matthieu N. Boone ,&nbsp;Frederic Van Assche ,&nbsp;Stéphane Faucher ,&nbsp;Peter Moonen ,&nbsp;Stijn Dewaele ,&nbsp;Veerle Cnudde","doi":"10.1016/j.tmater.2025.100059","DOIUrl":"10.1016/j.tmater.2025.100059","url":null,"abstract":"<div><div>Differentiating minerals using high-resolution X-ray tomography (µCT) relies on distinct differences in the attenuation coefficient <em>µ</em>. The <em>µ</em> value depends on an interplay between the material density <em>ρ</em> and the effective atomic number <em>Z</em>_<em>eff</em> of a mineral phase. Difficulties in identifying mineral phases arise when this interplay gives similar <em>µ</em> values and thus limited contrast within µCT images. Untangling these two dependencies is essential to improve the three-dimensional chemical identification of critical minerals. Lab-based methods and techniques often incorporate different measures, but only show a limited application potential on multiphase geological samples. Using high-<em>Z</em> spectral laboratory-based µCT we studied the potential of directly identifying chemical elements within the practical margins of high-<em>Z</em> spectral detectors. This paper compares the results from three mineral deposits using two spectral µCT setups. Chemical elements with a <em>Z</em> higher than molybdenum and a concentration of at least some weight percentage were correctly identified using K-edge imaging. The suitability of the different high-<em>Z</em> spectral detectors depends largely on the availability of prior knowledge of the sample composition. Quantifying elemental concentrations is element- and sample specific and currently does not allow for optimal automated mineralogy solutions. Improving the three-dimensional identification of minerals can be achieved with dedicated analyses of the energy-dependent <em>µ</em> curve and therefore will remain the focus of future work.</div></div>","PeriodicalId":101254,"journal":{"name":"Tomography of Materials and Structures","volume":"8 ","pages":"Article 100059"},"PeriodicalIF":0.0,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143591726","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}