RT info:eu-repo/semantics/article
T1 Moment-based representation of the diffusion inside the brain from reduced DMRI acquisitions: Generalized AMURA
A1 Aja Fernández, Santiago
A1 Pieciak, Tomasz
A1 Martín Martín, Carmen
A1 Planchuelo Gómez, Álvaro
A1 Luis García, Rodrigo de
A1 Tristán Vega, Antonio
K1 Diffusion MRI
K1 Difusión MRI
K1 Anisotropic diffusion
K1 Difusión anisotrópica
AB 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.
PB Elsevier
SN 1361-8415
YR 2022
FD 2022
LK https://uvadoc.uva.es/handle/10324/51779
UL https://uvadoc.uva.es/handle/10324/51779
LA eng
NO Medical Image Analysis, 2022, vol. 77, 102356
NO Producción Científica
DS UVaDOC
RD 24-nov-2024