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
Año del Documento
2022
Editorial
Elsevier
Descripción
Producción Científica
Documento Fuente
Medical Image Analysis, 2022, vol. 77, 102356
Résumé
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
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)
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)
Propietario de los Derechos
© 2022 The Authors
Idioma
eng
Tipo de versión
info:eu-repo/semantics/publishedVersion
Derechos
openAccess
Aparece en las colecciones
Fichier(s) constituant ce document
![Attribution-NonCommercial-NoDerivatives 4.0 Internacional](/themes/Mirage2//images/creativecommons/cc-by-nc-nd.png)