Fast and accurate lacunarity calculation for large 3D micro-CT datasets

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dc.citation.articleNumber116970en_US
dc.citation.journalTitleActa Materialiaen_US
dc.citation.volumeNumber214en_US
dc.contributor.authorSebők, Dánielen_US
dc.contributor.authorVásárhelyi, Líviaen_US
dc.contributor.authorSzenti, Imreen_US
dc.contributor.authorVajtai, Róberten_US
dc.contributor.authorKónya, Zoltánen_US
dc.contributor.authorKukovecz, Ákosen_US
dc.contributor.orgMaterials Science and Nanoengineeringen_US
dc.date.accessioned2021-06-10T17:36:46Zen_US
dc.date.available2021-06-10T17:36:46Zen_US
dc.date.issued2021en_US
dc.description.abstractMicrocomputed-tomography (micro-CT) is a 3D imaging method capable of revealing the complete inner structure of materials. Besides imaging, micro-CT also provides quantitative information about numerous structural features including lacunarity, which describes the heterogeneity of samples quantitatively. Theoretically, lacunarity is easily calculated using the gliding box method. However, when implemented in 3D, the computational costs of this method increase enormously, thus preventing its widespread use for large micro-CT datasets. Here we suggest a faster alternative method, based on the fixed-grid algorithm, which offers a viable alternative and renders 3D lacunarity calculations on micro-CT data feasible. Since a possible shortcoming of this alternative is that its reduced data could result in an inferior description of the real spatial heterogeneity of the structures, the two methods are compared concerning the accuracy, computational time, and applicability in materials science. The calculations are carried out on real 3D micro-CT datasets. Our implementation of the fixed-grid method can approximate gliding box lacunarity values rapidly and accurately, especially for large datasets of homogeneous structures. Therefore, we propose adding the fixed-grid method lacunarity calculation to the routine micro-CT analysis toolbox. Our image acquisition platform-independent software (Lac3D) to carry out this calculation is made freely accessible here.en_US
dc.identifier.citationSebők, Dániel, Vásárhelyi, Lívia, Szenti, Imre, et al.. "Fast and accurate lacunarity calculation for large 3D micro-CT datasets." <i>Acta Materialia,</i> 214, (2021) Elsevier: https://doi.org/10.1016/j.actamat.2021.116970.en_US
dc.identifier.digital1-s2-0-S1359645421003505-mainen_US
dc.identifier.doihttps://doi.org/10.1016/j.actamat.2021.116970en_US
dc.identifier.urihttps://hdl.handle.net/1911/110708en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rightsThis is an open access article under the CC BY-NC-ND licenseen_US
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.titleFast and accurate lacunarity calculation for large 3D micro-CT datasetsen_US
dc.typeJournal articleen_US
dc.type.dcmiTexten_US
dc.type.publicationpublisher versionen_US
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