Mostrar el registro sencillo del ítem
dc.contributor.author | Aja Fernández, Santiago | |
dc.contributor.author | París l Bandrés, Guillem Lluis | |
dc.contributor.author | Martín Martín, Carmen | |
dc.contributor.author | Jones, Derek K. | |
dc.contributor.author | Tristán Vega, Antonio | |
dc.date.accessioned | 2022-02-21T09:17:23Z | |
dc.date.available | 2022-02-21T09:17:23Z | |
dc.date.issued | 2022 | |
dc.identifier.citation | Magnetic Resonance Imaging, 2022, vol. 88. p. 38-43 | es |
dc.identifier.issn | 0730-725X | es |
dc.identifier.uri | https://uvadoc.uva.es/handle/10324/52106 | |
dc.description | Producción Científica | es |
dc.description.abstract | We 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.mimetype | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | Elsevier | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject.classification | Anisotropy | es |
dc.subject.classification | Anisotropía | es |
dc.subject.classification | Brain | es |
dc.subject.classification | Cerebro | es |
dc.title | Anisotropy measure from three diffusion-encoding gradient directions | es |
dc.type | info:eu-repo/semantics/article | es |
dc.rights.holder | © 2022 The Authors | es |
dc.identifier.doi | 10.1016/j.mri.2022.01.014 | es |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S0730725X22000145?via%3Dihub | es |
dc.peerreviewed | SI | es |
dc.description.project | Ministerio de Ciencia e Innovación (grant RTI2018-094569-B-I00) | es |
dc.description.project | Wellcome Trust Investigator Award (award 096646/Z/11/Z) | es |
dc.description.project | Wellcome Trust Strategic Award (award 104943/Z/14/Z) | es |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.type.hasVersion | info:eu-repo/semantics/publishedVersion | es |
Ficheros en el ítem
Este ítem aparece en la(s) siguiente(s) colección(ones)
La licencia del ítem se describe como Attribution-NonCommercial-NoDerivatives 4.0 Internacional