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dc.contributor.authorAja Fernández, Santiago 
dc.contributor.authorParís l Bandrés, Guillem Lluis
dc.contributor.authorMartín Martín, Carmen
dc.contributor.authorJones, Derek K.
dc.contributor.authorTristán Vega, Antonio 
dc.date.accessioned2022-02-21T09:17:23Z
dc.date.available2022-02-21T09:17:23Z
dc.date.issued2022
dc.identifier.citationMagnetic Resonance Imaging, 2022, vol. 88. p. 38-43es
dc.identifier.issn0730-725Xes
dc.identifier.urihttps://uvadoc.uva.es/handle/10324/52106
dc.descriptionProducción Científicaes
dc.description.abstractWe propose a method that can provide information about the anisotropy and orientation of diffusion in the brain from only 3 orthogonal gradient directions without imposing additional assumptions. The method is based on the Diffusion Anisotropy (DiA) that measures the distance from a diffusion signal to its isotropic equivalent. The original formulation based on a Spherical Harmonics basis allows to go down to only 3 orthogonal directions in order to estimate the measure. In addition, an alternative simplification and a color-coding representation are also proposed. Acquisitions from a publicly available database are used to test the viability of the proposal. The DiA succeeded in providing anisotropy information from the white matter using only 3 diffusion-encoding directions. The price to pay for such reduced acquisition is an increment in the variability of the data and a subestimation of the metric on those tracts not aligned with the acquired directions. Nevertheless, the calculation of anisotropy information from DMRI is feasible using fewer than 6 gradient directions by using DiA. The method is totally compatible with existing acquisition protocols, and it may provide complementary information about orientation in fast diffusion acquisitions.es
dc.format.mimetypeapplication/pdfes
dc.language.isoenges
dc.publisherElsevieres
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subject.classificationAnisotropyes
dc.subject.classificationAnisotropíaes
dc.subject.classificationBraines
dc.subject.classificationCerebroes
dc.titleAnisotropy measure from three diffusion-encoding gradient directionses
dc.typeinfo:eu-repo/semantics/articlees
dc.rights.holder© 2022 The Authorses
dc.identifier.doi10.1016/j.mri.2022.01.014es
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0730725X22000145?via%3Dihubes
dc.peerreviewedSIes
dc.description.projectMinisterio de Ciencia e Innovación (grant RTI2018-094569-B-I00)es
dc.description.projectWellcome Trust Investigator Award (award 096646/Z/11/Z)es
dc.description.projectWellcome Trust Strategic Award (award 104943/Z/14/Z)es
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones


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