2019
DOI: 10.1016/j.jmr.2018.11.006
|View full text |Cite
|
Sign up to set email alerts
|

The derivation of homogenized diffusion kurtosis models for diffusion MRI

Abstract: We use homogenization theory to establish a new macroscopic model for the complex transverse water proton magnetization in a voxel due to diffusion-encoding magnetic field gradient pulses in the case of biological tissue with impermeable membranes. In this model, new higher-order diffusion tensors emerge and offer more information about the structure of the biological tissues. We explicitly solve the macroscopic model to obtain an ordinary differential equation for the diffusion MRI signal that has similar str… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2020
2020
2023
2023

Publication Types

Select...
2

Relationship

1
1

Authors

Journals

citations
Cited by 2 publications
(2 citation statements)
references
References 29 publications
(57 reference statements)
0
2
0
Order By: Relevance
“…Following the classical periodic homogenization technique [4,17,28], we use the two-scale asymptotic expansions for the solution 𝑀 𝜀 in Ω 𝑒 𝜀 and Ω 𝑐 𝜀 :…”
Section: Derivation Of Asymptotic Modelmentioning
confidence: 99%
“…Following the classical periodic homogenization technique [4,17,28], we use the two-scale asymptotic expansions for the solution 𝑀 𝜀 in Ω 𝑒 𝜀 and Ω 𝑐 𝜀 :…”
Section: Derivation Of Asymptotic Modelmentioning
confidence: 99%
“…In this way, one can study the contribution to the signal that is attributable to various types of cells or to the extra-cellular space inside the imaging voxel. In static organs, such as the brain, modeling and simulation efforts that link the measured diffusion MRI signal with the geometric structure of the cells and the extra-cellular space include analytical works (see, for example, [17,18]) and numerical works (see, for example [19,20,21,22,23,24,25]). For the heart, we cite the works [26,27,28,29,30] in which ex-vivo diffusion MRI is presented by performing numerical simulations on a model of fiber phantom and virtual cardiac microstructure.…”
Section: Introductionmentioning
confidence: 99%