Literature DB >> 27119601

Iron quantification with susceptibility.

Stefan Ropele1, Christian Langkammer1.   

Abstract

Iron is an essential trace element involved in a variety of biological mechanisms in the human body. Disturbances of iron homeostasis have been observed in several inflammatory and degenerative diseases, which have raised strong interest in non-invasive iron mapping techniques. Numerous MRI techniques have been proposed so far, mostly based on the field changes induced by the magnetic properties of iron. Each of these approaches has a specific sensitivity for iron and its microstructural environment. Quantitative susceptibility mapping is the latest development and provides a direct measure of bulk susceptibility. However, field changes induced by iron are not always directly related to the concentration of iron, but rather reflect the structure of iron compounds and its cellular distribution. This review provides an overview of the most relevant iron compounds in the human body, their magnetic properties and their cellular distribution. In addition, MRI methods based on direct or indirect susceptibility changes are presented and discussed with respect to technical aspects and clinical applicability.
Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

Entities:  

Keywords:  Cellular distribution; Ferritin; Iron; Quantitative susceptibility mapping

Mesh:

Substances:

Year:  2016        PMID: 27119601     DOI: 10.1002/nbm.3534

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


  13 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

Review 2.  Studying brain microstructure with magnetic susceptibility contrast at high-field.

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

3.  Assessment of mesoscopic properties of deep gray matter iron through a model-based simultaneous analysis of magnetic susceptibility and R2* - A pilot study in patients with multiple sclerosis and normal controls.

Authors:  Yanis Taege; Jesper Hagemeier; Niels Bergsland; Michael G Dwyer; Bianca Weinstock-Guttman; Robert Zivadinov; Ferdinand Schweser
Journal:  Neuroimage       Date:  2018-11-14       Impact factor: 6.556

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.  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

6.  Background field removal for susceptibility mapping of human brain with large susceptibility variations.

Authors:  Jinsheng Fang; Lijun Bao; Xu Li; Peter C M van Zijl; Zhong Chen
Journal:  Magn Reson Med       Date:  2018-10-09       Impact factor: 4.668

7.  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

8.  Effects of aging on T₁, T₂*, and QSM MRI values in the subcortex.

Authors:  M C Keuken; P-L Bazin; K Backhouse; S Beekhuizen; L Himmer; A Kandola; J J Lafeber; L Prochazkova; A Trutti; A Schäfer; R Turner; B U Forstmann
Journal:  Brain Struct Funct       Date:  2017-02-06       Impact factor: 3.270

9.  Comparison of T2*-weighted and QSM contrasts in Parkinson's disease to visualize the STN with MRI.

Authors:  Anneke Alkemade; Gilles de Hollander; Max C Keuken; Andreas Schäfer; Derek V M Ott; Johannes Schwarz; David Weise; Sonja A Kotz; Birte U Forstmann
Journal:  PLoS One       Date:  2017-04-19       Impact factor: 3.240

Review 10.  Visualizing the Human Subcortex Using Ultra-high Field Magnetic Resonance Imaging.

Authors:  M C Keuken; B R Isaacs; R Trampel; W van der Zwaag; B U Forstmann
Journal:  Brain Topogr       Date:  2018-03-02       Impact factor: 3.020

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