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Micro-computed tomography image-based evaluation of 3D anisotropy degree of polymer scaffolds

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Micro-computed tomography image-based evaluation of 3D anisotropy degree of polymer scaffolds

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dc.contributor.author Pérez Ramírez, María Úrsula es_ES
dc.contributor.author López Orive, Jesús Javier es_ES
dc.contributor.author Arana Fernandez de Moya, Estanislao es_ES
dc.contributor.author Salmerón Sánchez, Manuel es_ES
dc.contributor.author Moratal Pérez, David es_ES
dc.date.accessioned 2016-06-01T09:39:24Z
dc.date.available 2016-06-01T09:39:24Z
dc.date.issued 2015-03-12
dc.identifier.issn 1025-5842
dc.identifier.uri http://hdl.handle.net/10251/65037
dc.description.abstract Anisotropy is one of the most meaningful determinants of biomechanical behaviour. This study employs micro-computed tomography (mu CT) and image techniques for analysing the anisotropy of regenerative medicine polymer scaffolds. For this purpose, three three-dimensional anisotropy evaluation image methods were used: ellipsoid of inertia (EI), mean intercept length (MIL) and tensor scale (t-scale). These were applied to three patterns (a sphere, a cube and a right prism) and to two polymer scaffold topologies (cylindrical orthogonal pore mesh and spherical pores). For the patterns, the three methods provided good results. Regarding the scaffolds, EI mistook both topologies (0.0158, [-0.5683; 0.6001]; mean difference and 95% confidence interval), and MIL showed no significant differences (0.3509, [0.0656; 0.6362]). T-scale is the preferable method because it gave the best capability (0.3441, [0.1779; 0.5102]) to differentiate both topologies. This methodology results in the development of non-destructive tools to engineer biomimetic scaffolds, incorporating anisotropy as a fundamental property to be mimicked from the original tissue and permitting its assessment by means of mu CT image analysis. es_ES
dc.description.sponsorship The support of the Spanish Ministry of Science and Innovation through project TEC2009-14128 is acknowledged. en_EN
dc.language Inglés es_ES
dc.publisher Taylor & Francis es_ES
dc.relation Spanish Ministry of Science and Innovation TEC2009-14128 es_ES
dc.relation.ispartof Computer Methods in Biomechanics and Biomedical Engineering es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject anisotropy analysis es_ES
dc.subject mean intercept length es_ES
dc.subject polymer scaffolds es_ES
dc.subject image analysis es_ES
dc.subject tensor scale es_ES
dc.subject ellipsoid of inertia es_ES
dc.subject.classification FISICA APLICADA es_ES
dc.subject.classification TECNOLOGIA ELECTRONICA es_ES
dc.title Micro-computed tomography image-based evaluation of 3D anisotropy degree of polymer scaffolds es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1080/10255842.2013.818663
dc.rights.accessRights Cerrado es_ES
dc.contributor.affiliation Universitat Politècnica de València. Centro de Biomateriales e Ingeniería Tisular - Centre de Biomaterials i Enginyeria Tissular es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Física Aplicada - Departament de Física Aplicada es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica es_ES
dc.description.bibliographicCitation Pérez Ramírez, MÚ.; Lopez Orive, JJ.; Arana Fernandez De Moya, E.; Salmerón Sánchez, M.; Moratal Pérez, D. (2015). Micro-computed tomography image-based evaluation of 3D anisotropy degree of polymer scaffolds. Computer Methods in Biomechanics and Biomedical Engineering. 18(4):446-455. doi:10.1080/10255842.2013.818663 es_ES
dc.description.accrualMethod Senia es_ES
dc.relation.publisherversion http://dx.doi.org/10.1080/10255842.2013.818663 es_ES
dc.description.upvformatpinicio 446 es_ES
dc.description.upvformatpfin 455 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 18 es_ES
dc.description.issue 4 es_ES
dc.relation.senia 300492 es_ES
dc.identifier.eissn 1476-8259


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