Literature DB >> 22570268

Quantitative susceptibility mapping of small objects using volume constraints.

Saifeng Liu1, Jaladhar Neelavalli, Yu-Chung N Cheng, Jin Tang, E Mark Haacke.   

Abstract

Microbleeds have been implicated to play a role in many neurovascular and neurodegenerative diseases. The diameter of each microbleed has been used previously as a possible quantitative measure for grading microbleeds. We propose that magnetic susceptibility provides a new quantitative measure of extravasated blood. Recently, a Fourier-based method has been used that allows susceptibility quantification from phase images for any arbitrarily shaped structures. However, when very small objects, such as microbleeds, are considered, the accuracy of this susceptibility mapping method still remains to be evaluated. In this article, air bubbles and glass beads are taken as microbleed surrogates to evaluate the quantitative accuracy of the susceptibility mapping method. We show that when an object occupies only a few voxels, an estimate of the true volume of the object is necessary for accurate susceptibility quantification. Remnant errors in the quantified susceptibilities and their sources are evaluated. We show that quantifying magnetic moment, rather than the susceptibility of these small structures, may be a better and more robust alternative.
Copyright © 2012 Wiley Periodicals, Inc.

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Year:  2012        PMID: 22570268      PMCID: PMC3465725          DOI: 10.1002/mrm.24305

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  18 in total

1.  Fast, automated, N-dimensional phase-unwrapping algorithm.

Authors:  Mark Jenkinson
Journal:  Magn Reson Med       Date:  2003-01       Impact factor: 4.668

2.  Cerebral microbleeds: burden assessment by using quantitative susceptibility mapping.

Authors:  Tian Liu; Krishna Surapaneni; Min Lou; Liuquan Cheng; Pascal Spincemaille; Yi Wang
Journal:  Radiology       Date:  2011-11-04       Impact factor: 11.105

3.  A complex sum method of quantifying susceptibilities in cylindrical objects: the first step toward quantitative diagnosis of small objects in MRI.

Authors:  Yu-Chung N Cheng; Ching-Yi Hsieh; Jaladhar Neelavalli; Qiang Liu; Muhammad S Dawood; E Mark Haacke
Journal:  Magn Reson Imaging       Date:  2007-02-28       Impact factor: 2.546

4.  Calculation of susceptibility through multiple orientation sampling (COSMOS): a method for conditioning the inverse problem from measured magnetic field map to susceptibility source image in MRI.

Authors:  Tian Liu; Pascal Spincemaille; Ludovic de Rochefort; Bryan Kressler; Yi Wang
Journal:  Magn Reson Med       Date:  2009-01       Impact factor: 4.668

5.  Quantitative MR susceptibility mapping using piece-wise constant regularized inversion of the magnetic field.

Authors:  Ludovic de Rochefort; Ryan Brown; Martin R Prince; Yi Wang
Journal:  Magn Reson Med       Date:  2008-10       Impact factor: 4.668

6.  Quantifying effective magnetic moments of narrow cylindrical objects in MRI.

Authors:  Yu-Chung N Cheng; Ching-Yi Hsieh; Jaladhar Neelavalli; E Mark Haacke
Journal:  Phys Med Biol       Date:  2009-11-04       Impact factor: 3.609

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

Authors:  Yu-Chung N Cheng; Jaladhar Neelavalli; E Mark Haacke
Journal:  Phys Med Biol       Date:  2009-01-30       Impact factor: 3.609

Review 8.  Cerebral microbleeds: a guide to detection and interpretation.

Authors:  Steven M Greenberg; Meike W Vernooij; Charlotte Cordonnier; Anand Viswanathan; Rustam Al-Shahi Salman; Steven Warach; Lenore J Launer; Mark A Van Buchem; Monique Mb Breteler
Journal:  Lancet Neurol       Date:  2009-02       Impact factor: 44.182

9.  Removing background phase variations in susceptibility-weighted imaging using a fast, forward-field calculation.

Authors:  Jaladhar Neelavalli; Yu-Chung N Cheng; Jing Jiang; E Mark Haacke
Journal:  J Magn Reson Imaging       Date:  2009-04       Impact factor: 4.813

10.  Object strength--an accurate measure for small objects that is insensitive to partial volume effects.

Authors:  P S Tofts; N C Silver; G J Barker; A Gass
Journal:  MAGMA       Date:  2005-07-18       Impact factor: 2.310

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  8 in total

1.  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

2.  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

3.  Longitudinal ultra-high field MRI of brain lesions in neuromyelitis optica spectrum disorders.

Authors:  Sanjeev Chawla; Yulin Ge; Jens Wuerfel; Shadi Asadollahi; Suyash Mohan; Friedemann Paul; Tim Sinnecker; Ilya Kister
Journal:  Mult Scler Relat Disord       Date:  2020-03-25       Impact factor: 4.339

4.  Iron and Non-Iron-Related Characteristics of Multiple Sclerosis and Neuromyelitis Optica Lesions at 7T MRI.

Authors:  S Chawla; I Kister; J Wuerfel; J-C Brisset; S Liu; T Sinnecker; P Dusek; E M Haacke; F Paul; Y Ge
Journal:  AJNR Am J Neuroradiol       Date:  2016-03-24       Impact factor: 3.825

5.  Magnetic moment quantifications of small spherical objects in MRI.

Authors:  Yu-Chung N Cheng; Ching-Yi Hsieh; Ronald Tackett; Paul Kokeny; Rajesh Kumar Regmi; Gavin Lawes
Journal:  Magn Reson Imaging       Date:  2014-12-06       Impact factor: 2.546

6.  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

7.  Longitudinal study of multiple sclerosis lesions using ultra-high field (7T) multiparametric MR imaging.

Authors:  Sanjeev Chawla; Ilya Kister; Tim Sinnecker; Jens Wuerfel; Jean-Christophe Brisset; Friedemann Paul; Yulin Ge
Journal:  PLoS One       Date:  2018-09-13       Impact factor: 3.240

8.  QSM reconstruction challenge 2.0: A realistic in silico head phantom for MRI data simulation and evaluation of susceptibility mapping procedures.

Authors:  José P Marques; Jakob Meineke; Carlos Milovic; Berkin Bilgic; Kwok-Shing Chan; Renaud Hedouin; Wietske van der Zwaag; Christian Langkammer; Ferdinand Schweser
Journal:  Magn Reson Med       Date:  2021-02-26       Impact factor: 4.668

  8 in total

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