Literature DB >> 27717080

An illustrated comparison of processing methods for phase MRI and QSM: removal of background field contributions from sources outside the region of interest.

Ferdinand Schweser1,2, Simon Daniel Robinson3, Ludovic de Rochefort4, Wei Li5, Kristian Bredies6.   

Abstract

The elimination of so-called background fields is an essential step in phase MRI and quantitative susceptibility mapping (QSM). Background fields, which are caused by sources outside the region of interest (ROI), are often one to two orders of magnitude stronger than tissue-related field variations from within the ROI, hampering quantitative interpretation of field maps. This paper reviews the current literature on background elimination algorithms for QSM and provides insights into similarities and differences between the many algorithms proposed. We discuss the basic theoretical foundations and derive fundamental limitations of background field elimination.
Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

Entities:  

Keywords:  QSM; background field removal; phase imaging; phase processing; review; susceptibility mapping

Mesh:

Year:  2016        PMID: 27717080      PMCID: PMC5587182          DOI: 10.1002/nbm.3604

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


  36 in total

1.  Magnetic susceptibility quantification for arbitrarily shaped objects in inhomogeneous fields.

Authors:  L Li
Journal:  Magn Reson Med       Date:  2001-11       Impact factor: 4.668

2.  Nonlinear formulation of the magnetic field to source relationship for robust quantitative susceptibility mapping.

Authors:  Tian Liu; Cynthia Wisnieff; Min Lou; Weiwei Chen; Pascal Spincemaille; Yi Wang
Journal:  Magn Reson Med       Date:  2012-04-09       Impact factor: 4.668

3.  Selective depiction of susceptibility transitions using Laplace-filtered phase maps.

Authors:  Chris J G Bakker; Hendrik de Leeuw; Peter R Seevinck
Journal:  Magn Reson Imaging       Date:  2012-03-09       Impact factor: 2.546

4.  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

5.  A novel background field removal method for MRI using projection onto dipole fields (PDF).

Authors:  Tian Liu; Ildar Khalidov; Ludovic de Rochefort; Pascal Spincemaille; Jing Liu; A John Tsiouris; Yi Wang
Journal:  NMR Biomed       Date:  2011-03-08       Impact factor: 4.044

6.  Quantitative conductivity and permittivity imaging of the human brain using electric properties tomography.

Authors:  Tobias Voigt; Ulrich Katscher; Olaf Doessel
Journal:  Magn Reson Med       Date:  2011-02-24       Impact factor: 4.668

7.  Simultaneous imaging of in vivo conductivity and susceptibility.

Authors:  Dong-Hyun Kim; Narae Choi; Sung-Min Gho; Jaewook Shin; Chunlei Liu
Journal:  Magn Reson Med       Date:  2014-03       Impact factor: 4.668

8.  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

9.  A probabilistic atlas of the basal ganglia using 7 T MRI.

Authors:  Max C Keuken; Birte U Forstmann
Journal:  Data Brief       Date:  2015-07-31

10.  Quantitative Susceptibility Mapping: Contrast Mechanisms and Clinical Applications.

Authors:  Chunlei Liu; Hongjiang Wei; Nan-Jie Gong; Matthew Cronin; Russel Dibb; Kyle Decker
Journal:  Tomography       Date:  2015-09
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  33 in total

1.  Sensitivity of quantitative relaxometry and susceptibility mapping to microscopic iron distribution.

Authors:  Timothy J Colgan; Gesine Knobloch; Scott B Reeder; Diego Hernando
Journal:  Magn Reson Med       Date:  2019-08-18       Impact factor: 4.668

2.  Nonlinear dipole inversion (NDI) enables robust quantitative susceptibility mapping (QSM).

Authors:  Daniel Polak; Itthi Chatnuntawech; Jaeyeon Yoon; Siddharth Srinivasan Iyer; Carlos Milovic; Jongho Lee; Peter Bachert; Elfar Adalsteinsson; Kawin Setsompop; Berkin Bilgic
Journal:  NMR Biomed       Date:  2020-02-20       Impact factor: 4.044

Review 3.  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

4.  Measurements of cerebral blood volume using quantitative susceptibility mapping, R2 * relaxometry, and ferumoxytol-enhanced MRI.

Authors:  Leonardo A Rivera-Rivera; Tilman Schubert; Kevin M Johnson
Journal:  NMR Biomed       Date:  2019-09-04       Impact factor: 4.044

5.  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

6.  Data-Driven Quantitative Susceptibility Mapping Using Loss Adaptive Dipole Inversion (LADI).

Authors:  Srikant Kamesh Iyer; Brianna F Moon; Nicholas Josselyn; Kosha Ruparel; David Roalf; Jae W Song; Samantha Guiry; Jeffrey B Ware; Robert M Kurtz; Sanjeev Chawla; S Ali Nabavizadeh; Walter R Witschey
Journal:  J Magn Reson Imaging       Date:  2020-03-04       Impact factor: 4.813

7.  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

8.  [Quantitative magnetic resonance imaging of brain iron deposition: comparison between quantitative susceptibility mapping and transverse relaxation rate (R2*) mapping].

Authors:  Ji-Jing Guan; Yan-Qiu Feng
Journal:  Nan Fang Yi Ke Da Xue Xue Bao       Date:  2018-03-20

9.  Quantitative susceptibility mapping: Report from the 2016 reconstruction challenge.

Authors:  Christian Langkammer; Ferdinand Schweser; Karin Shmueli; Christian Kames; Xu Li; Li Guo; Carlos Milovic; Jinsuh Kim; Hongjiang Wei; Kristian Bredies; Sagar Buch; Yihao Guo; Zhe Liu; Jakob Meineke; Alexander Rauscher; José P Marques; Berkin Bilgic
Journal:  Magn Reson Med       Date:  2017-07-31       Impact factor: 4.668

10.  The 2016 QSM Challenge: Lessons learned and considerations for a future challenge design.

Authors:  Carlos Milovic; Cristian Tejos; Julio Acosta-Cabronero; Pinar Senay Özbay; Ferdinand Schwesser; Jose Pedro Marques; Pablo Irarrazaval; Berkin Bilgic; Christian Langkammer
Journal:  Magn Reson Med       Date:  2020-02-21       Impact factor: 4.668

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