Literature DB >> 27434134

Overview of quantitative susceptibility mapping.

Andreas Deistung1, Ferdinand Schweser2,3, Jürgen R Reichenbach1,4.   

Abstract

Magnetic susceptibility describes the magnetizability of a material to an applied magnetic field and represents an important parameter in the field of MRI. With the recently introduced method of quantitative susceptibility mapping (QSM) and its conceptual extension to susceptibility tensor imaging (STI), the non-invasive assessment of this important physical quantity has become possible with MRI. Both methods solve the ill-posed inverse problem to determine the magnetic susceptibility from local magnetic fields. Whilst QSM allows the extraction of the spatial distribution of the bulk magnetic susceptibility from a single measurement, STI enables the quantification of magnetic susceptibility anisotropy, but requires multiple measurements with different orientations of the object relative to the main static magnetic field. In this review, we briefly recapitulate the fundamental theoretical foundation of QSM and STI, as well as computational strategies for the characterization of magnetic susceptibility with MRI phase data. In the second part, we provide an overview of current methodological and clinical applications of QSM with a focus on brain imaging.
Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

Keywords:  functional MRI; magnetic susceptibility; multiple sclerosis; quantitative susceptibility mapping; susceptibility tensor imaging

Mesh:

Year:  2016        PMID: 27434134     DOI: 10.1002/nbm.3569

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


  58 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.  Quantitative Analysis of Punctate White Matter Lesions in Neonates Using Quantitative Susceptibility Mapping and R2* Relaxation.

Authors:  Y Zhang; A Rauscher; C Kames; A M Weber
Journal:  AJNR Am J Neuroradiol       Date:  2019-06-20       Impact factor: 3.825

3.  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

Review 4.  Studying brain microstructure with magnetic susceptibility contrast at high-field.

Authors:  Jeff H Duyn
Journal:  Neuroimage       Date:  2017-02-24       Impact factor: 6.556

5.  An improved FSL-FIRST pipeline for subcortical gray matter segmentation to study abnormal brain anatomy using quantitative susceptibility mapping (QSM).

Authors:  Xiang Feng; Andreas Deistung; Michael G Dwyer; Jesper Hagemeier; Paul Polak; Jessica Lebenberg; Frédérique Frouin; Robert Zivadinov; Jürgen R Reichenbach; Ferdinand Schweser
Journal:  Magn Reson Imaging       Date:  2017-02-07       Impact factor: 2.546

6.  Cardiac quantitative susceptibility mapping (QSM) for heart chamber oxygenation.

Authors:  Yan Wen; Thanh D Nguyen; Zhe Liu; Pascal Spincemaille; Dong Zhou; Alexey Dimov; Youngwook Kee; Kofi Deh; Jiwon Kim; Jonathan W Weinsaft; Yi Wang
Journal:  Magn Reson Med       Date:  2017-06-26       Impact factor: 4.668

7.  Identification of Chronic Active Multiple Sclerosis Lesions on 3T MRI.

Authors:  M Absinta; P Sati; A Fechner; M K Schindler; G Nair; D S Reich
Journal:  AJNR Am J Neuroradiol       Date:  2018-05-03       Impact factor: 3.825

8.  Quantitative susceptibility mapping in the human fetus to measure blood oxygenation in the superior sagittal sinus.

Authors:  Brijesh Kumar Yadav; Sagar Buch; Uday Krishnamurthy; Pavan Jella; Edgar Hernandez-Andrade; Anabela Trifan; Lami Yeo; Sonia S Hassan; E Mark Haacke; Roberto Romero; Jaladhar Neelavalli
Journal:  Eur Radiol       Date:  2018-10-01       Impact factor: 5.315

9.  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

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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