Literature DB >> 19182322

Limitations of calculating field distributions and magnetic susceptibilities in MRI using a Fourier based method.

Yu-Chung N Cheng1, Jaladhar Neelavalli, E Mark Haacke.   

Abstract

A discrete Fourier based method for calculating field distributions and local magnetic susceptibility in MRI is carefully studied. Simulations suggest that the method based on discrete Green's functions in both 2D and 3D spaces has less error than the method based on continuous Green's functions. The 2D field calculations require the correction of the 'Lorentz disk', which is similar to the Lorentz sphere term in the 3D case. A standard least-squares fit is proposed for the extraction of susceptibility for a single object from MR images. Simulations and a phantom study confirm both the discrete method and the feasibility of the least-squares fit approach. Finding accurate susceptibility values of local structures in the brain from MR images may be possible with this approach in the future.

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Year:  2009        PMID: 19182322      PMCID: PMC2962550          DOI: 10.1088/0031-9155/54/5/005

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  7 in total

1.  Perturbation method for magnetic field calculations of nonconductive objects.

Authors:  Mark Jenkinson; James L Wilson; Peter Jezzard
Journal:  Magn Reson Med       Date:  2004-09       Impact factor: 4.668

2.  Susceptibility weighted imaging (SWI).

Authors:  E Mark Haacke; Yingbiao Xu; Yu-Chung N Cheng; Jürgen R Reichenbach
Journal:  Magn Reson Med       Date:  2004-09       Impact factor: 4.668

3.  MRI simulator with object-specific field map calculations.

Authors:  Duane A Yoder; Yansong Zhao; Cynthia B Paschal; J Michael Fitzpatrick
Journal:  Magn Reson Imaging       Date:  2004-04       Impact factor: 2.546

Review 4.  Imaging iron stores in the brain using magnetic resonance imaging.

Authors:  E Mark Haacke; Norman Y C Cheng; Michael J House; Qiang Liu; Jaladhar Neelavalli; Robert J Ogg; Asadullah Khan; Muhammad Ayaz; Wolff Kirsch; Andre Obenaus
Journal:  Magn Reson Imaging       Date:  2005-01       Impact factor: 2.546

5.  Rapid calculations of susceptibility-induced magnetostatic field perturbations for in vivo magnetic resonance.

Authors:  Kevin M Koch; Xenophon Papademetris; Douglas L Rothman; Robin A de Graaf
Journal:  Phys Med Biol       Date:  2006-11-27       Impact factor: 3.609

6.  Complex threshold method for identifying pixels that contain predominantly noise in magnetic resonance images.

Authors:  Daniel S J Pandian; Carlo Ciulla; E Mark Haacke; Jing Jiang; Muhammad Ayaz
Journal:  J Magn Reson Imaging       Date:  2008-09       Impact factor: 4.813

7.  Establishing a baseline phase behavior in magnetic resonance imaging to determine normal vs. abnormal iron content in the brain.

Authors:  E Mark Haacke; Muhammad Ayaz; Asadullah Khan; Elena S Manova; Bharani Krishnamurthy; Lakshman Gollapalli; Carlo Ciulla; I Kim; Floyd Petersen; Wolff Kirsch
Journal:  J Magn Reson Imaging       Date:  2007-08       Impact factor: 4.813

  7 in total
  21 in total

1.  Combining prospective motion correction and distortion correction for EPI: towards a comprehensive correction of motion and susceptibility-induced artifacts.

Authors:  Rainer Boegle; Julian Maclaren; Maxim Zaitsev
Journal:  MAGMA       Date:  2010-08-06       Impact factor: 2.310

Review 2.  In vivo structural imaging of the cerebellum, the contribution of ultra-high fields.

Authors:  José P Marques; Rolf Gruetter; Wietske van der Zwaag
Journal:  Cerebellum       Date:  2012-06       Impact factor: 3.847

3.  Quantitative susceptibility mapping of human brain at 3T: a multisite reproducibility study.

Authors:  P-Y Lin; T-C Chao; M-L Wu
Journal:  AJNR Am J Neuroradiol       Date:  2014-10-22       Impact factor: 3.825

4.  Tracking and Quantification of Magnetically Labeled Stem Cells using Magnetic Resonance Imaging.

Authors:  Forrest Goodfellow; Gregory A Simchick; Luke J Mortensen; Steven L Stice; Qun Zhao
Journal:  Adv Funct Mater       Date:  2016-02-17       Impact factor: 18.808

5.  Susceptibility weighted imaging and quantitative susceptibility mapping of the cerebral vasculature using ferumoxytol.

Authors:  Saifeng Liu; Jean-Christophe Brisset; Jiani Hu; E Mark Haacke; Yulin Ge
Journal:  J Magn Reson Imaging       Date:  2017-07-21       Impact factor: 4.813

6.  An improved method for susceptibility and radius quantification of cylindrical objects from MRI.

Authors:  Ching-Yi Hsieh; Yu-Chung N Cheng; Jaladhar Neelavalli; E Mark Haacke; R Jason Stafford
Journal:  Magn Reson Imaging       Date:  2015-01-26       Impact factor: 2.546

7.  Improving susceptibility mapping using a threshold-based K-space/image domain iterative reconstruction approach.

Authors:  J Tang; S Liu; J Neelavalli; Y C N Cheng; S Buch; E M Haacke
Journal:  Magn Reson Med       Date:  2012-06-26       Impact factor: 4.668

8.  Susceptibility mapping as a means to visualize veins and quantify oxygen saturation.

Authors:  E M Haacke; J Tang; J Neelavalli; Y C N Cheng
Journal:  J Magn Reson Imaging       Date:  2010-09       Impact factor: 4.813

9.  Measuring iron in the brain using quantitative susceptibility mapping and X-ray fluorescence imaging.

Authors:  Weili Zheng; Helen Nichol; Saifeng Liu; Yu-Chung N Cheng; E Mark Haacke
Journal:  Neuroimage       Date:  2013-04-13       Impact factor: 6.556

10.  Determination of detection sensitivity for cerebral microbleeds using susceptibility-weighted imaging.

Authors:  Sagar Buch; Yu-Chung N Cheng; Jiani Hu; Saifeng Liu; John Beaver; Rajasimhan Rajagovindan; E Mark Haacke
Journal:  NMR Biomed       Date:  2016-05-20       Impact factor: 4.044

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