Literature DB >> 22561358

Mapping magnetic susceptibility anisotropies of white matter in vivo in the human brain at 7 T.

Xu Li1, Deepti S Vikram, Issel Anne L Lim, Craig K Jones, Jonathan A D Farrell, Peter C M van Zijl.   

Abstract

High-resolution magnetic resonance phase- or frequency-shift images acquired at high field show contrast related to magnetic susceptibility differences between tissues. Such contrast varies with the orientation of the organ in the field, but the development of quantitative susceptibility mapping (QSM) has made it possible to reproducibly image the intrinsic tissue susceptibility contrast. However, recent studies indicate that magnetic susceptibility is anisotropic in brain white matter and, as such, needs to be described by a symmetric second-rank tensor( ̅χ). To fully determine the elements of this tensor, it would be necessary to acquire frequency data at six or more orientations. Assuming cylindrical symmetry of the susceptibility tensor in myelinated white matter fibers, we propose a simplified method to reconstruct the susceptibility tensor in terms of a mean magnetic susceptibility, MMS=(χ(//)+2 χ(⊥))/3 and a magnetic susceptibility anisotropy, MSA=χ(//)-χ(⊥), where χ(//) and χ(⊥) are susceptibility parallel and perpendicular to the white matter fiber direction, respectively. Computer simulations show that with a practical head rotation angle of around 20°-30°, four head orientations suffice to reproducibly reconstruct the tensor with good accuracy. We tested this approach on whole brain 1 × 1 × 1 mm(3) frequency data acquired from five healthy subjects at 7 T. The frequency information from phase images collected at four head orientations was combined with the fiber direction information extracted from diffusion tensor imaging (DTI) to map the white matter susceptibility tensor. The MMS and MSA were quantified for regions in several large white matter fiber structures, including the corona radiata, posterior thalamic radiation and corpus callosum. MMS ranged from -0.037 to -0.053 ppm (referenced to CSF being about zero). MSA values could be quantified without the need for a reference and ranged between 0.004 and 0.029 ppm, in line with the expectation that the susceptibility perpendicular to the fiber is more diamagnetic than the one parallel to it.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22561358      PMCID: PMC3392309          DOI: 10.1016/j.neuroimage.2012.04.042

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  39 in total

1.  Susceptibility mapping in the human brain using threshold-based k-space division.

Authors:  Sam Wharton; Andreas Schäfer; Richard Bowtell
Journal:  Magn Reson Med       Date:  2010-05       Impact factor: 4.668

2.  Whole-brain susceptibility mapping at high field: a comparison of multiple- and single-orientation methods.

Authors:  Sam Wharton; Richard Bowtell
Journal:  Neuroimage       Date:  2010-07-06       Impact factor: 6.556

3.  Quantitative susceptibility map reconstruction from MR phase data using bayesian regularization: validation and application to brain imaging.

Authors:  Ludovic de Rochefort; Tian Liu; Bryan Kressler; Jing Liu; Pascal Spincemaille; Vincent Lebon; Jianlin Wu; Yi Wang
Journal:  Magn Reson Med       Date:  2010-01       Impact factor: 4.668

4.  Sensitivity of MRI resonance frequency to the orientation of brain tissue microstructure.

Authors:  Jongho Lee; Karin Shmueli; Masaki Fukunaga; Peter van Gelderen; Hellmut Merkle; Afonso C Silva; Jeff H Duyn
Journal:  Proc Natl Acad Sci U S A       Date:  2010-03-02       Impact factor: 11.205

5.  Susceptibility tensor imaging.

Authors:  Chunlei Liu
Journal:  Magn Reson Med       Date:  2010-06       Impact factor: 4.668

6.  Biophysical mechanisms of phase contrast in gradient echo MRI.

Authors:  Xiang He; Dmitriy A Yablonskiy
Journal:  Proc Natl Acad Sci U S A       Date:  2009-07-23       Impact factor: 11.205

Review 7.  Susceptibility-weighted imaging: technical aspects and clinical applications, part 2.

Authors:  S Mittal; Z Wu; J Neelavalli; E M Haacke
Journal:  AJNR Am J Neuroradiol       Date:  2009-01-08       Impact factor: 3.825

8.  Magnetic susceptibility mapping of brain tissue in vivo using MRI phase data.

Authors:  Karin Shmueli; Jacco A de Zwart; Peter van Gelderen; Tie-Qiang Li; Stephen J Dodd; Jeff H Duyn
Journal:  Magn Reson Med       Date:  2009-12       Impact factor: 4.668

Review 9.  Susceptibility-weighted imaging: technical aspects and clinical applications, part 1.

Authors:  E M Haacke; S Mittal; Z Wu; J Neelavalli; Y-C N Cheng
Journal:  AJNR Am J Neuroradiol       Date:  2008-11-27       Impact factor: 3.825

10.  Accuracy and precision of MR blood oximetry based on the long paramagnetic cylinder approximation of large vessels.

Authors:  Michael C Langham; Jeremy F Magland; Charles L Epstein; Thomas F Floyd; Felix W Wehrli
Journal:  Magn Reson Med       Date:  2009-08       Impact factor: 4.668

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  52 in total

Review 1.  Magnetic resonance imaging at ultrahigh fields.

Authors:  Kamil Ugurbil
Journal:  IEEE Trans Biomed Eng       Date:  2014-03-25       Impact factor: 4.538

2.  Rapid multi-orientation quantitative susceptibility mapping.

Authors:  Berkin Bilgic; Luke Xie; Russell Dibb; Christian Langkammer; Aysegul Mutluay; Huihui Ye; Jonathan R Polimeni; Jean Augustinack; Chunlei Liu; Lawrence L Wald; Kawin Setsompop
Journal:  Neuroimage       Date:  2015-08-12       Impact factor: 6.556

3.  Characterizing white matter fiber orientation effects on multi-parametric quantitative BOLD assessment of oxygen extraction fraction.

Authors:  Stephan Kaczmarz; Jens Göttler; Claus Zimmer; Fahmeed Hyder; Christine Preibisch
Journal:  J Cereb Blood Flow Metab       Date:  2019-04-05       Impact factor: 6.200

Review 4.  MRI in the assessment and monitoring of multiple sclerosis: an update on best practice.

Authors:  Ulrike W Kaunzner; Susan A Gauthier
Journal:  Ther Adv Neurol Disord       Date:  2017-05-12       Impact factor: 6.570

5.  Background field removal using a region adaptive kernel for quantitative susceptibility mapping of human brain.

Authors:  Jinsheng Fang; Lijun Bao; Xu Li; Peter C M van Zijl; Zhong Chen
Journal:  J Magn Reson       Date:  2017-05-10       Impact factor: 2.229

6.  MR susceptibility imaging.

Authors:  Jeff Duyn
Journal:  J Magn Reson       Date:  2012-11-29       Impact factor: 2.229

Review 7.  Contributions to magnetic susceptibility of brain tissue.

Authors:  Jeff H Duyn; John Schenck
Journal:  NMR Biomed       Date:  2016-05-30       Impact factor: 4.044

8.  Dentate nucleus iron deposition is a potential biomarker for tremor-dominant Parkinson's disease.

Authors:  Naying He; Pei Huang; Huawei Ling; Jason Langley; Chunlei Liu; Bei Ding; Juan Huang; Hongmin Xu; Yong Zhang; Zhongping Zhang; Xiaoping Hu; Shengdi Chen; Fuhua Yan
Journal:  NMR Biomed       Date:  2016-05-18       Impact factor: 4.044

Review 9.  Magnetic susceptibility anisotropy outside the central nervous system.

Authors:  Russell Dibb; Luke Xie; Hongjiang Wei; Chunlei Liu
Journal:  NMR Biomed       Date:  2016-05-16       Impact factor: 4.044

10.  Susceptibility tensor imaging and tractography of collagen fibrils in the articular cartilage.

Authors:  Hongjiang Wei; Eric Gibbs; Peida Zhao; Nian Wang; Gary P Cofer; Yuyao Zhang; G Allan Johnson; Chunlei Liu
Journal:  Magn Reson Med       Date:  2017-08-30       Impact factor: 4.668

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