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    • SCIENTIFIC PRODUCTION
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    • Dpto. Teoría de la Señal y Comunicaciones e Ingeniería Telemática
    • DEP71 - Artículos de revista
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    Por favor, use este identificador para citar o enlazar este ítem:https://uvadoc.uva.es/handle/10324/51779

    Título
    Moment-based representation of the diffusion inside the brain from reduced DMRI acquisitions: Generalized AMURA
    Autor
    Aja Fernández, SantiagoAutoridad UVA Orcid
    Pieciak, Tomasz
    Martín Martín, Carmen
    Planchuelo Gómez, ÁlvaroAutoridad UVA Orcid
    Luis García, Rodrigo deAutoridad UVA Orcid
    Tristán Vega, AntonioAutoridad UVA Orcid
    Año del Documento
    2022
    Editorial
    Elsevier
    Descripción
    Producción Científica
    Documento Fuente
    Medical Image Analysis, 2022, vol. 77, 102356
    Abstract
    AMURA (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.
    Palabras Clave
    Diffusion MRI
    Difusión MRI
    Anisotropic diffusion
    Difusión anisotrópica
    ISSN
    1361-8415
    Revisión por pares
    SI
    DOI
    10.1016/j.media.2022.102356
    Patrocinador
    Ministerio de Ciencia, Innovación y Universidades (grant RTI2018-094569-B-I00)
    Polish National Agency for Academic Exchange (grant PN/BEK/2019/1/00421)
    Ministry of Science and Higher Education of Poland (scholarship 692/STYP/13/2018)
    Junta de Castilla y León - Fondo Social Europeo (ID: 376062)
    Version del Editor
    https://www.sciencedirect.com/science/article/pii/S1361841522000093?via%3Dihub
    Propietario de los Derechos
    © 2022 The Authors
    Idioma
    eng
    URI
    https://uvadoc.uva.es/handle/10324/51779
    Tipo de versión
    info:eu-repo/semantics/publishedVersion
    Derechos
    openAccess
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    • DEP71 - Artículos de revista [157]
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    Attribution-NonCommercial-NoDerivatives 4.0 InternacionalExcept where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internacional

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