Literature DB >> 26702760

Foundations of MRI phase imaging and processing for Quantitative Susceptibility Mapping (QSM).

Ferdinand Schweser1, Andreas Deistung2, Jürgen R Reichenbach3.   

Abstract

Quantitative Susceptibility Mapping (QSM) is a novel MRI based technique that relies on estimates of the magnetic field distribution in the tissue under examination. Several sophisticated data processing steps are required to extract the magnetic field distribution from raw MRI phase measurements. The objective of this review article is to provide a general overview and to discuss several underlying assumptions and limitations of the pre-processing steps that need to be applied to MRI phase data before the final field-to-source inversion can be performed. Beginning with the fundamental relation between MRI signal and tissue magnetic susceptibility this review covers the reconstruction of magnetic field maps from multi-channel phase images, background field correction, and provides an overview of state of the art QSM solution strategies.
Copyright © 2015. Published by Elsevier GmbH.

Keywords:  MRI phase; MRT-Phase; Magnetische Suszeptibilität; Phasenprozessierung; QSM; magnetic susceptibility; phase processing

Mesh:

Year:  2015        PMID: 26702760     DOI: 10.1016/j.zemedi.2015.10.002

Source DB:  PubMed          Journal:  Z Med Phys        ISSN: 0939-3889            Impact factor:   4.820


  34 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.  Introduction to Quantitative Susceptibility Mapping and Susceptibility Weighted Imaging.

Authors:  Pascal P R Ruetten; Jonathan H Gillard; Martin J Graves
Journal:  Br J Radiol       Date:  2019-07-26       Impact factor: 3.039

Review 3.  Towards a mechanistic understanding of the human subcortex.

Authors:  Birte U Forstmann; Gilles de Hollander; Leendert van Maanen; Anneke Alkemade; Max C Keuken
Journal:  Nat Rev Neurosci       Date:  2016-12-15       Impact factor: 34.870

4.  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

5.  Visualization of thalamic calcium influx with quantitative susceptibility mapping as a potential imaging biomarker for repeated mild traumatic brain injury.

Authors:  Ferdinand Schweser; Jenni Kyyriäinen; Marilena Preda; Asla Pitkänen; Kathryn Toffolo; Austin Poulsen; Kaitlynn Donahue; Benett Levy; David Poulsen
Journal:  Neuroimage       Date:  2019-06-12       Impact factor: 6.556

6.  Mapping of thalamic magnetic susceptibility in multiple sclerosis indicates decreasing iron with disease duration: A proposed mechanistic relationship between inflammation and oligodendrocyte vitality.

Authors:  Ferdinand Schweser; Ana Luiza Raffaini Duarte Martins; Jesper Hagemeier; Fuchun Lin; Jannis Hanspach; Bianca Weinstock-Guttman; Simon Hametner; Niels Bergsland; Michael G Dwyer; Robert Zivadinov
Journal:  Neuroimage       Date:  2017-10-31       Impact factor: 6.556

7.  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

8.  Temporally resolved parametric assessment of Z-magnetization recovery (TOPAZ): Dynamic myocardial T1 mapping using a cine steady-state look-locker approach.

Authors:  Sebastian Weingärtner; Chetan Shenoy; Benedikt Rieger; Lothar R Schad; Jeanette Schulz-Menger; Mehmet Akçakaya
Journal:  Magn Reson Med       Date:  2017-08-30       Impact factor: 4.668

9.  A comprehensive numerical analysis of background phase correction with V-SHARP.

Authors:  Pinar Senay Özbay; Andreas Deistung; Xiang Feng; Daniel Nanz; Jürgen Rainer Reichenbach; Ferdinand Schweser
Journal:  NMR Biomed       Date:  2016-06-03       Impact factor: 4.044

10.  Brain Iron at Quantitative MRI Is Associated with Disability in Multiple Sclerosis.

Authors:  Robert Zivadinov; Eleonora Tavazzi; Niels Bergsland; Jesper Hagemeier; Fuchun Lin; Michael G Dwyer; Ellen Carl; Channa Kolb; David Hojnacki; Deepa Ramasamy; Jacqueline Durfee; Bianca Weinstock-Guttman; Ferdinand Schweser
Journal:  Radiology       Date:  2018-07-17       Impact factor: 11.105

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