Literature DB >> 22245644

The future of susceptibility contrast for assessment of anatomy and function.

Jürgen R Reichenbach1.   

Abstract

The magnetic properties of tissues affect MR images and differences in magnetic susceptibility can be utilized to provide impressive image contrast. Specifically, phase images acquired with gradient echo MRI provide unique and superb contrast which reflects variations in the underlying tissue composition. There is great interest in extracting tissue susceptibility from image data since magnetic susceptibility is an intrinsic tissue property that reflects tissue composition much more closely than MRI phase. Still, this major tissue contrast mechanism is largely unexplored in magnetic resonance imaging because non-conventional reconstruction and dipole deconvolution are required to quantitatively map tissue susceptibility properly. This short review summarizes the current state of susceptibility contrast and susceptibility mapping and aims to identify future directions.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22245644     DOI: 10.1016/j.neuroimage.2012.01.004

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


  19 in total

Review 1.  Quantitative Susceptibility Mapping: Concepts and Applications.

Authors:  J R Reichenbach; F Schweser; B Serres; A Deistung
Journal:  Clin Neuroradiol       Date:  2015-07-22       Impact factor: 3.649

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

Review 3.  Contributions to magnetic susceptibility of brain tissue.

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

4.  Phase-corrected bipolar gradients in multi-echo gradient-echo sequences for quantitative susceptibility mapping.

Authors:  Jianqi Li; Shixin Chang; Tian Liu; Hongwei Jiang; Fang Dong; Mengchao Pei; Qianfeng Wang; Yi Wang
Journal:  MAGMA       Date:  2014-11-20       Impact factor: 2.310

Review 5.  [Computational neuroanatomy and microstructure imaging using magnetic resonance imaging].

Authors:  S Mohammadi; N Weiskopf
Journal:  Nervenarzt       Date:  2017-08       Impact factor: 1.214

6.  A method for estimating and removing streaking artifacts in quantitative susceptibility mapping.

Authors:  Wei Li; Nian Wang; Fang Yu; Hui Han; Wei Cao; Rebecca Romero; Bundhit Tantiwongkosi; Timothy Q Duong; Chunlei Liu
Journal:  Neuroimage       Date:  2014-12-20       Impact factor: 6.556

Review 7.  Challenges and opportunities for brainstem neuroimaging with ultrahigh field MRI.

Authors:  Roberta Sclocco; Florian Beissner; Marta Bianciardi; Jonathan R Polimeni; Vitaly Napadow
Journal:  Neuroimage       Date:  2017-02-21       Impact factor: 6.556

8.  Micro-compartment specific T2* relaxation in the brain.

Authors:  Pascal Sati; Peter van Gelderen; Afonso C Silva; Daniel S Reich; Hellmut Merkle; Jacco A de Zwart; Jeff H Duyn
Journal:  Neuroimage       Date:  2013-03-22       Impact factor: 6.556

9.  Iterative Restoration of the Fringe Phase (REFRASE) for QSM.

Authors:  Johannes Lindemeyer; Wieland A Worthoff; Aliaksandra Shymanskaya; N Jon Shah
Journal:  Front Neurosci       Date:  2021-05-13       Impact factor: 4.677

10.  Quantitative susceptibility mapping (QSM) as a means to measure brain iron? A post mortem validation study.

Authors:  Christian Langkammer; Ferdinand Schweser; Nikolaus Krebs; Andreas Deistung; Walter Goessler; Eva Scheurer; Karsten Sommer; Gernot Reishofer; Kathrin Yen; Franz Fazekas; Stefan Ropele; Jürgen R Reichenbach
Journal:  Neuroimage       Date:  2012-05-24       Impact factor: 6.556

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