Literature DB >> 21224002

Quantitative susceptibility mapping of human brain reflects spatial variation in tissue composition.

Wei Li1, Bing Wu, Chunlei Liu.   

Abstract

Image phase from gradient echo MRI provides a unique contrast that reflects brain tissue composition variations, such as iron and myelin distribution. Phase imaging is emerging as a powerful tool for the investigation of functional brain anatomy and disease diagnosis. However, the quantitative value of phase is compromised by its nonlocal and orientation dependent properties. There is an increasing need for reliable quantification of magnetic susceptibility, the intrinsic property of tissue. In this study, we developed a novel and accurate susceptibility mapping method that is also phase-wrap insensitive. The proposed susceptibility mapping method utilized two complementary equations: (1) the Fourier relationship of phase and magnetic susceptibility; and (2) the first-order partial derivative of the first equation in the spatial frequency domain. In numerical simulation, this method reconstructed the susceptibility map almost free of streaking artifact. Further, the iterative implementation of this method allowed for high quality reconstruction of susceptibility maps of human brain in vivo. The reconstructed susceptibility map provided excellent contrast of iron-rich deep nuclei and white matter bundles from surrounding tissues. Further, it also revealed anisotropic magnetic susceptibility in brain white matter. Hence, the proposed susceptibility mapping method may provide a powerful tool for the study of brain physiology and pathophysiology. Further elucidation of anisotropic magnetic susceptibility in vivo may allow us to gain more insight into the white matter micro-architectures.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21224002      PMCID: PMC3062654          DOI: 10.1016/j.neuroimage.2010.11.088

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


  28 in total

1.  Fast phase unwrapping algorithm for interferometric applications.

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

2.  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

3.  Quantitative imaging of intrinsic magnetic tissue properties using MRI signal phase: an approach to in vivo brain iron metabolism?

Authors:  Ferdinand Schweser; Andreas Deistung; Berengar Wendel Lehr; Jürgen Rainer Reichenbach
Journal:  Neuroimage       Date:  2010-10-30       Impact factor: 6.556

Review 4.  Imaging iron stores in the brain using magnetic resonance imaging.

Authors:  E Mark Haacke; Norman Y C Cheng; Michael J House; Qiang Liu; Jaladhar Neelavalli; Robert J Ogg; Asadullah Khan; Muhammad Ayaz; Wolff Kirsch; Andre Obenaus
Journal:  Magn Reson Imaging       Date:  2005-01       Impact factor: 2.546

5.  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

6.  User-guided 3D active contour segmentation of anatomical structures: significantly improved efficiency and reliability.

Authors:  Paul A Yushkevich; Joseph Piven; Heather Cody Hazlett; Rachel Gimpel Smith; Sean Ho; James C Gee; Guido Gerig
Journal:  Neuroimage       Date:  2006-03-20       Impact factor: 6.556

7.  Calculation of susceptibility through multiple orientation sampling (COSMOS): a method for conditioning the inverse problem from measured magnetic field map to susceptibility source image in MRI.

Authors:  Tian Liu; Pascal Spincemaille; Ludovic de Rochefort; Bryan Kressler; Yi Wang
Journal:  Magn Reson Med       Date:  2009-01       Impact factor: 4.668

8.  Susceptibility tensor imaging.

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

9.  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

10.  Susceptibility contrast in high field MRI of human brain as a function of tissue iron content.

Authors:  Bing Yao; Tie-Qiang Li; Peter van Gelderen; Karin Shmueli; Jacco A de Zwart; Jeff H Duyn
Journal:  Neuroimage       Date:  2008-11-05       Impact factor: 6.556

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  198 in total

1.  QSMGAN: Improved Quantitative Susceptibility Mapping using 3D Generative Adversarial Networks with increased receptive field.

Authors:  Yicheng Chen; Angela Jakary; Sivakami Avadiappan; Christopher P Hess; Janine M Lupo
Journal:  Neuroimage       Date:  2019-11-21       Impact factor: 6.556

2.  Streaking artifact reduction for quantitative susceptibility mapping of sources with large dynamic range.

Authors:  Hongjiang Wei; Russell Dibb; Yan Zhou; Yawen Sun; Jianrong Xu; Nian Wang; Chunlei Liu
Journal:  NMR Biomed       Date:  2015-08-27       Impact factor: 4.044

3.  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

4.  Quantitative Susceptibility Mapping Suggests Altered Brain Iron in Premanifest Huntington Disease.

Authors:  J M G van Bergen; J Hua; P G Unschuld; I A L Lim; C K Jones; R L Margolis; C A Ross; P C M van Zijl; X Li
Journal:  AJNR Am J Neuroradiol       Date:  2015-12-17       Impact factor: 3.825

5.  Double dissociation of structure-function relationships in memory and fluid intelligence observed with magnetic resonance elastography.

Authors:  Curtis L Johnson; Hillary Schwarb; Kevin M Horecka; Matthew D J McGarry; Charles H Hillman; Arthur F Kramer; Neal J Cohen; Aron K Barbey
Journal:  Neuroimage       Date:  2018-01-06       Impact factor: 6.556

6.  Genetic predisposition for inflammation exacerbates effects of striatal iron content on cognitive switching ability in healthy aging.

Authors:  Ana M Daugherty; David A Hoagey; Kristen M Kennedy; Karen M Rodrigue
Journal:  Neuroimage       Date:  2018-10-25       Impact factor: 6.556

Review 7.  Region-Specific Iron Measured by MRI as a Biomarker for Parkinson's Disease.

Authors:  Xiaojun Guan; Xiaojun Xu; Minming Zhang
Journal:  Neurosci Bull       Date:  2017-05-17       Impact factor: 5.203

8.  Simultaneous Time Interleaved MultiSlice (STIMS) for Rapid Susceptibility Weighted acquisition.

Authors:  Berkin Bilgic; Huihui Ye; Lawrence L Wald; Kawin Setsompop
Journal:  Neuroimage       Date:  2017-04-20       Impact factor: 6.556

9.  Simultaneous quantitative susceptibility mapping and Flutemetamol-PET suggests local correlation of iron and β-amyloid as an indicator of cognitive performance at high age.

Authors:  J M G van Bergen; X Li; F C Quevenco; A F Gietl; V Treyer; R Meyer; A Buck; P A Kaufmann; R M Nitsch; P C M van Zijl; C Hock; P G Unschuld
Journal:  Neuroimage       Date:  2018-03-13       Impact factor: 6.556

10.  Altered brain iron content and deposition rate in Huntington's disease as indicated by quantitative susceptibility MRI.

Authors:  Lin Chen; Jun Hua; Christopher A Ross; Shuhui Cai; Peter C M van Zijl; Xu Li
Journal:  J Neurosci Res       Date:  2018-11-29       Impact factor: 4.164

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