3d image acquisition and quantitative post-processing tools (KU Leuven)
90
Structured Review
KU Leuven
3d image acquisition and quantitative post-processing tools
3d Image Acquisition And Quantitative Post Processing Tools, supplied by KU Leuven, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/3d+image+acquisition+and+quantitative+post-processing+tools/3d+image+acquisition+and+quantitative+post+processing+tools/10__1007_slash_s11242___025___02174___4-277-44-54
Average 90 stars, based on 1 article reviews
3d Image Acquisition And Quantitative Post Processing Tools, supplied by KU Leuven, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/3d+image+acquisition+and+quantitative+post-processing+tools/3d+image+acquisition+and+quantitative+post+processing+tools/10__1007_slash_s11242___025___02174___4-277-44-54
Average 90 stars, based on 1 article reviews
3d image acquisition and quantitative post-processing tools - by Bioz Stars,
2026-09
90/100 stars
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other:Article Title: Characterizing the pore structure of a porous building material: Impacts of image acquisition, image denoising and image segmentation choices Article Snippet: The porous nature of a building material significantly influences its functional properties, with the pore structure being particularly crucial.. Imaging techniques are widely used to characterize pore structures, typically involving image acquisition, image denoising, and image segmentation.. This paper analyses the distinct impacts of these procedures on the resulting pore structure characterization, by application on ceramic brick, a commonly applied building material. Article Title: High strength and fatigue performance achieved for L-PBF processed hybrid particle reinforced Al-Cu-Mg composite Article Snippet: This study highlights the successful manufacturing of a crack-free, dense, hybrid ex-situ/in-situ particle reinforced (Ti + B4C)/Al-Cu-Mg composite, fabricated by laser powder bed fusion and exhibiting exceptional mechanical performance.. In its as-built (AB) state, the composite displays a unique microstructure characterized by equiaxed grains with an average grain size of 1.0 ± 0.3 μm, notable interdendritic microsegregation of Cu, Mg, Mn, and Fe, randomly distributed ex-situ added Ti and B4C particles featuring a surface interaction layer with the metal matrix, and in-situ formed reinforcing particles, such as TiB2 and TiC.. After subjecting the material to hot isostatic pressing (HIP) and subsequent aging treatment, dissolution of interdendritically segregated elements occurs, and precipitation of Al2Cu, Al12Mg17, and Al-Fe-Cu-Mn phases is observed. Article Title: Multiscale modelling of capillary imbibition in 3D-printed porous microfluidic channels Article Snippet: 3D-printed porous microfluidics has been proposed to realize complex passive lab-on-chips.. The performance of these devices depends on capillary flow design and control.. To this end, a predictive multiscale model of capillary imbibition in porous channels obtained through powder-based 3D printing was developed. Article Title: Accuracy of photon-counting computed tomography for the measurement of bone quality in the knee. Article Snippet: Visualization and quantification of bone microarchitecture in the human knee allows gaining insight into normal bone structure, and into the structural changes occurring in the onset and progression of bone diseases such as osteoporosis and osteoarthritis.. However, current imaging modalities have limitations in capturing the intricacies of bone microarchitecture.. Photon counting computed tomography (PCCT) is a promising imaging modality that presents high-resolution three-dimensional visualization of bone with a large field of view. Article Title: Internal and interfacial microstructure characterization of ice droplets on surfaces by X-ray computed tomography. Article Snippet: We acknowledge the FWO large infrastructure project (I013518N) and The Article Title: Improved Algorithms for Stochastic Pore Network Generation for Porous Materials Article Snippet: Pore network modeling is widely applied to investigate transport phenomena in porous media, as this approach allows for efficient and accurate pore-scale simulation.. However, the direct extraction of the pore network (PN) from three-dimensional pore structure images can often not be achieved, due to the conflict between the wide pore size range of many porous materials and the limited image size inherent to many imaging techniques.. This obstacle is typically overcome by stochastic PN generation, and this paper proposes and assesses improved stochastic algorithms to generate such statistically similar PNs. |