Microanisotropy imaging: quantification of microscopic diffusion anisotropy and orientational order parameter by diffusion MRI with magic-angle spinning of the q-vector

Diffusion tensor imaging (DTI) is the method of choice for non-invasive investigations of the structure of human brain white matter. The results are conventionally reported as maps of the fractional anisotropy (FA), which is a parameter related to microstructural features such as axon density, diame...

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Main Authors: Samo eLasič, Filip eSzczepankiewicz, Stefanie eEriksson, Markus eNilsson, Daniel eTopgaard
Format: Article
Language:English
Published: Frontiers Media S.A. 2014-02-01
Series:Frontiers in Physics
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fphy.2014.00011/full
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spelling doaj-fdbc5e48c12a4059b6fc96b9a9a570f42020-11-25T02:36:05ZengFrontiers Media S.A.Frontiers in Physics2296-424X2014-02-01210.3389/fphy.2014.0001176928Microanisotropy imaging: quantification of microscopic diffusion anisotropy and orientational order parameter by diffusion MRI with magic-angle spinning of the q-vectorSamo eLasič0Filip eSzczepankiewicz1Stefanie eEriksson2Markus eNilsson3Daniel eTopgaard4CR Development, ABLund UniversityLund UniversityLund UniversityLund UniversityDiffusion tensor imaging (DTI) is the method of choice for non-invasive investigations of the structure of human brain white matter. The results are conventionally reported as maps of the fractional anisotropy (FA), which is a parameter related to microstructural features such as axon density, diameter, and myelination. The interpretation of FA in terms of microstructure becomes ambiguous when there is a distribution of axon orientations within the image voxel. In this paper, we propose a procedure for resolving this ambiguity by determining a new parameter, the microscopic fractional anisotropy (µFA), which corresponds to the FA without the confounding influence of orientation dispersion. In addition, we suggest a method for measuring the orientational order parameter (OP) for the anisotropic objects. The experimental protocol is capitalizing on a recently developed diffusion NMR pulse sequence based on magic-angle spinning of the q-vector. Proof-of-principle experiments are carried out on microimaging and clinical MRI equipment using lyotropic liquid crystals and plant tissues as model materials with high µFA and low FA on account of orientation dispersion. We expect the presented method to be especially fruitful in combination with DTI and high angular resolution acquisition protocols for neuroimaging studies of grey and white matter.http://journal.frontiersin.org/Journal/10.3389/fphy.2014.00011/fulldiffusion MRIfractional anisotropyOrder parametermicroscopic diffusion anisotropysingle shot isotropic diffusion weightingq-MAS
collection DOAJ
language English
format Article
sources DOAJ
author Samo eLasič
Filip eSzczepankiewicz
Stefanie eEriksson
Markus eNilsson
Daniel eTopgaard
spellingShingle Samo eLasič
Filip eSzczepankiewicz
Stefanie eEriksson
Markus eNilsson
Daniel eTopgaard
Microanisotropy imaging: quantification of microscopic diffusion anisotropy and orientational order parameter by diffusion MRI with magic-angle spinning of the q-vector
Frontiers in Physics
diffusion MRI
fractional anisotropy
Order parameter
microscopic diffusion anisotropy
single shot isotropic diffusion weighting
q-MAS
author_facet Samo eLasič
Filip eSzczepankiewicz
Stefanie eEriksson
Markus eNilsson
Daniel eTopgaard
author_sort Samo eLasič
title Microanisotropy imaging: quantification of microscopic diffusion anisotropy and orientational order parameter by diffusion MRI with magic-angle spinning of the q-vector
title_short Microanisotropy imaging: quantification of microscopic diffusion anisotropy and orientational order parameter by diffusion MRI with magic-angle spinning of the q-vector
title_full Microanisotropy imaging: quantification of microscopic diffusion anisotropy and orientational order parameter by diffusion MRI with magic-angle spinning of the q-vector
title_fullStr Microanisotropy imaging: quantification of microscopic diffusion anisotropy and orientational order parameter by diffusion MRI with magic-angle spinning of the q-vector
title_full_unstemmed Microanisotropy imaging: quantification of microscopic diffusion anisotropy and orientational order parameter by diffusion MRI with magic-angle spinning of the q-vector
title_sort microanisotropy imaging: quantification of microscopic diffusion anisotropy and orientational order parameter by diffusion mri with magic-angle spinning of the q-vector
publisher Frontiers Media S.A.
series Frontiers in Physics
issn 2296-424X
publishDate 2014-02-01
description Diffusion tensor imaging (DTI) is the method of choice for non-invasive investigations of the structure of human brain white matter. The results are conventionally reported as maps of the fractional anisotropy (FA), which is a parameter related to microstructural features such as axon density, diameter, and myelination. The interpretation of FA in terms of microstructure becomes ambiguous when there is a distribution of axon orientations within the image voxel. In this paper, we propose a procedure for resolving this ambiguity by determining a new parameter, the microscopic fractional anisotropy (µFA), which corresponds to the FA without the confounding influence of orientation dispersion. In addition, we suggest a method for measuring the orientational order parameter (OP) for the anisotropic objects. The experimental protocol is capitalizing on a recently developed diffusion NMR pulse sequence based on magic-angle spinning of the q-vector. Proof-of-principle experiments are carried out on microimaging and clinical MRI equipment using lyotropic liquid crystals and plant tissues as model materials with high µFA and low FA on account of orientation dispersion. We expect the presented method to be especially fruitful in combination with DTI and high angular resolution acquisition protocols for neuroimaging studies of grey and white matter.
topic diffusion MRI
fractional anisotropy
Order parameter
microscopic diffusion anisotropy
single shot isotropic diffusion weighting
q-MAS
url http://journal.frontiersin.org/Journal/10.3389/fphy.2014.00011/full
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