Literature DB >> 27120169

Susceptibility tensor imaging (STI) of the brain.

Wei Li1,2, Chunlei Liu3,4, Timothy Q Duong1,2, Peter C M van Zijl5,6, Xu Li5,6.   

Abstract

Susceptibility tensor imaging (STI) is a recently developed MRI technique that allows quantitative determination of orientation-independent magnetic susceptibility parameters from the dependence of gradient echo signal phase on the orientation of biological tissues with respect to the main magnetic field. By modeling the magnetic susceptibility of each voxel as a symmetric rank-2 tensor, individual magnetic susceptibility tensor elements as well as the mean magnetic susceptibility and magnetic susceptibility anisotropy can be determined for brain tissues that would still show orientation dependence after conventional scalar-based quantitative susceptibility mapping to remove such dependence. Similar to diffusion tensor imaging, STI allows mapping of brain white matter fiber orientations and reconstruction of 3D white matter pathways using the principal eigenvectors of the susceptibility tensor. In contrast to diffusion anisotropy, the main determinant factor of the susceptibility anisotropy in brain white matter is myelin. Another unique feature of the susceptibility anisotropy of white matter is its sensitivity to gadolinium-based contrast agents. Mechanistically, MRI-observed susceptibility anisotropy is mainly attributed to the highly ordered lipid molecules in the myelin sheath. STI provides a consistent interpretation of the dependence of phase and susceptibility on orientation at multiple scales. This article reviews the key experimental findings and physical theories that led to the development of STI, its practical implementations, and its applications for brain research.
Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

Entities:  

Keywords:  brain imaging; fiber tracking; gradient echo MRI; phase contrast; quantitative susceptibility mapping; susceptibility tensor imaging; white matter

Mesh:

Year:  2016        PMID: 27120169      PMCID: PMC5083244          DOI: 10.1002/nbm.3540

Source DB:  PubMed          Journal:  NMR Biomed        ISSN: 0952-3480            Impact factor:   4.044


  74 in total

1.  Internal structures of the globus pallidus in patients with Parkinson's disease: evaluation with quantitative susceptibility mapping (QSM).

Authors:  Satoru Ide; Shingo Kakeda; Issei Ueda; Keita Watanabe; Yu Murakami; Junji Moriya; Atsushi Ogasawara; Koichiro Futatsuya; Toru Sato; Norihiro Ohnari; Kazumasa Okada; Atsuji Matsuyama; Hitoshi Fujiwara; Masanori Hisaoka; Sadatoshi Tsuji; Tian Liu; Yi Wang; Yukunori Korogi
Journal:  Eur Radiol       Date:  2014-11-01       Impact factor: 5.315

2.  Fast phase unwrapping algorithm for interferometric applications.

Authors:  Marvin A Schofield; Yimei Zhu
Journal:  Opt Lett       Date:  2003-07-15       Impact factor: 3.776

3.  High resolution magnetic susceptibility mapping of the substantia nigra in Parkinson's disease.

Authors:  Ashley K Lotfipour; Samuel Wharton; Stefan T Schwarz; V Gontu; Andreas Schäfer; Andrew M Peters; Richard W Bowtell; Dorothee P Auer; Penny A Gowland; Nin P S Bajaj
Journal:  J Magn Reson Imaging       Date:  2011-10-10       Impact factor: 4.813

4.  High-field MRI of brain cortical substructure based on signal phase.

Authors:  Jeff H Duyn; Peter van Gelderen; Tie-Qiang Li; Jacco A de Zwart; Alan P Koretsky; Masaki Fukunaga
Journal:  Proc Natl Acad Sci U S A       Date:  2007-06-22       Impact factor: 11.205

5.  Whole brain susceptibility mapping using compressed sensing.

Authors:  Bing Wu; Wei Li; Arnaud Guidon; Chunlei Liu
Journal:  Magn Reson Med       Date:  2011-06-10       Impact factor: 4.668

6.  The influence of white matter fibre orientation on MR signal phase and decay.

Authors:  Christian Denk; Enedino Hernandez Torres; Alex MacKay; Alexander Rauscher
Journal:  NMR Biomed       Date:  2010-12-28       Impact factor: 4.044

7.  High-field (9.4 T) MRI of brain dysmyelination by quantitative mapping of magnetic susceptibility.

Authors:  Chunlei Liu; Wei Li; G Allan Johnson; Bing Wu
Journal:  Neuroimage       Date:  2011-02-12       Impact factor: 6.556

8.  On the role of neuronal magnetic susceptibility and structure symmetry on gradient echo MR signal formation.

Authors:  Alexander L Sukstanskii; Dmitriy A Yablonskiy
Journal:  Magn Reson Med       Date:  2013-02-04       Impact factor: 4.668

9.  Magneto-orientation of lecithin crystals.

Authors:  I Sakurai; Y Kawamura; A Ikegami; S Iwayanagi
Journal:  Proc Natl Acad Sci U S A       Date:  1980-12       Impact factor: 11.205

10.  Effects of white matter microstructure on phase and susceptibility maps.

Authors:  Samuel Wharton; Richard Bowtell
Journal:  Magn Reson Med       Date:  2014-03-11       Impact factor: 4.668

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  12 in total

1.  Automated adaptive preconditioner for quantitative susceptibility mapping.

Authors:  Zhe Liu; Yan Wen; Pascal Spincemaille; Shun Zhang; Yihao Yao; Thanh D Nguyen; Yi Wang
Journal:  Magn Reson Med       Date:  2019-08-11       Impact factor: 4.668

2.  Susceptibility-Based Neuroimaging: Standard Methods, Clinical Applications, and Future Directions.

Authors:  Salil Soman; Jose A Bregni; Berkin Bilgic; Ursula Nemec; Audrey Fan; Zhe Liu; Robert L Barry; Jiang Du; Keith Main; Jerome Yesavage; Maheen M Adamson; Michael Moseley; Yi Wang
Journal:  Curr Radiol Rep       Date:  2017-02-14

3.  Probing demyelination and remyelination of the cuprizone mouse model using multimodality MRI.

Authors:  Nian Wang; Jie Zhuang; Hongjiang Wei; Russell Dibb; Yi Qi; Chunlei Liu
Journal:  J Magn Reson Imaging       Date:  2019-04-22       Impact factor: 4.813

4.  In vivo magnetic resonance imaging and spectroscopy. Technological advances and opportunities for applications continue to abound.

Authors:  Peter van Zijl; Linda Knutsson
Journal:  J Magn Reson       Date:  2019-07-09       Impact factor: 2.229

5.  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

6.  Quantitative susceptibility mapping (QSM) with an extended physical model for MRI frequency contrast in the brain: a proof-of-concept of quantitative susceptibility and residual (QUASAR) mapping.

Authors:  Ferdinand Schweser; Robert Zivadinov
Journal:  NMR Biomed       Date:  2018-09-24       Impact factor: 4.044

7.  Single-step calculation of susceptibility through multiple orientation sampling.

Authors:  Lin Chen; Shuhui Cai; Peter C M van Zijl; Xu Li
Journal:  NMR Biomed       Date:  2021-04-06       Impact factor: 4.478

Review 8.  Brain Vascular Imaging Techniques.

Authors:  Bàrbara Laviña
Journal:  Int J Mol Sci       Date:  2016-12-30       Impact factor: 5.923

9.  Ex-vivo quantitative susceptibility mapping of human brain hemispheres.

Authors:  Arnold M Evia; Aikaterini Kotrotsou; Ashish A Tamhane; Robert J Dawe; Alifiya Kapasi; Sue E Leurgans; Julie A Schneider; David A Bennett; Konstantinos Arfanakis
Journal:  PLoS One       Date:  2017-12-20       Impact factor: 3.240

Review 10.  Non-Invasive Evaluation of Cerebral Microvasculature Using Pre-Clinical MRI: Principles, Advantages and Limitations.

Authors:  Bram Callewaert; Elizabeth A V Jones; Uwe Himmelreich; Willy Gsell
Journal:  Diagnostics (Basel)       Date:  2021-05-21
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