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dc.contributor.authorAja Fernández, Santiago 
dc.contributor.authorPieciak, Tomasz
dc.contributor.authorMartín Martín, Carmen
dc.contributor.authorPlanchuelo Gómez, Álvaro 
dc.contributor.authorLuis García, Rodrigo de 
dc.contributor.authorTristán Vega, Antonio 
dc.date.accessioned2022-01-31T09:57:02Z
dc.date.available2022-01-31T09:57:02Z
dc.date.issued2022
dc.identifier.citationMedical Image Analysis, 2022, vol. 77, 102356es
dc.identifier.issn1361-8415es
dc.identifier.urihttps://uvadoc.uva.es/handle/10324/51779
dc.descriptionProducción Científicaes
dc.description.abstractAMURA (Apparent Measures Using Reduced Acquisitions) was originally proposed as a method to infer micro-structural information from single-shell acquisitions in diffusion MRI. It reduces the number of samples needed and the computational complexity of the estimation of diffusion properties of tissues by assuming the diffusion anisotropy is roughly independent on the b-value. This simplification allows the computation of simplified expressions and makes it compatible with standard acquisition protocols commonly used even in clinical practice. The present work proposes an extension of AMURA that allows the calculation of general moments of the diffusion signals that can be applied to describe the diffusion process with higher accuracy. We provide simplified expressions to analytically compute a set of scalar indices as moments of arbitrary orders over either the whole 3-D space, particular directions, or particular planes. The existing metrics previously proposed for AMURA (RTOP, RTPP and RTAP) are now special cases of this generalization. An extensive set of experiments is performed on public data and a clinical clase acquired with a standard type acquisition. The new metrics provide additional information about the diffusion processes inside the brain.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.classificationDiffusion MRIes
dc.subject.classificationDifusión MRIes
dc.subject.classificationAnisotropic diffusiones
dc.subject.classificationDifusión anisotrópicaes
dc.titleMoment-based representation of the diffusion inside the brain from reduced DMRI acquisitions: Generalized AMURAes
dc.typeinfo:eu-repo/semantics/articlees
dc.rights.holder© 2022 The Authorses
dc.identifier.doi10.1016/j.media.2022.102356es
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S1361841522000093?via%3Dihubes
dc.peerreviewedSIes
dc.description.projectMinisterio de Ciencia, Innovación y Universidades (grant RTI2018-094569-B-I00)es
dc.description.projectPolish National Agency for Academic Exchange (grant PN/BEK/2019/1/00421)es
dc.description.projectMinistry of Science and Higher Education of Poland (scholarship 692/STYP/13/2018)es
dc.description.projectJunta de Castilla y León - Fondo Social Europeo (ID: 376062)es
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones


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