Literature DB >> 19097205

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.

Tian Liu1, Pascal Spincemaille, Ludovic de Rochefort, Bryan Kressler, Yi Wang.   

Abstract

Magnetic susceptibility differs among tissues based on their contents of iron, calcium, contrast agent, and other molecular compositions. Susceptibility modifies the magnetic field detected in the MR signal phase. The determination of an arbitrary susceptibility distribution from the induced field shifts is a challenging, ill-posed inverse problem. A method called "calculation of susceptibility through multiple orientation sampling" (COSMOS) is proposed to stabilize this inverse problem. The field created by the susceptibility distribution is sampled at multiple orientations with respect to the polarization field, B(0), and the susceptibility map is reconstructed by weighted linear least squares to account for field noise and the signal void region. Numerical simulations and phantom and in vitro imaging validations demonstrated that COSMOS is a stable and precise approach to quantify a susceptibility distribution using MRI.

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Year:  2009        PMID: 19097205     DOI: 10.1002/mrm.21828

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


  137 in total

1.  The contribution of chemical exchange to MRI frequency shifts in brain tissue.

Authors:  Karin Shmueli; Stephen J Dodd; Tie-Qiang Li; Jeff H Duyn
Journal:  Magn Reson Med       Date:  2011-01       Impact factor: 4.668

2.  High-field MRI of brain iron.

Authors:  Jozef H Duyn
Journal:  Methods Mol Biol       Date:  2011

3.  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

4.  Direct visualization of the subthalamic nucleus and its iron distribution using high-resolution susceptibility mapping.

Authors:  Andreas Schäfer; Birte U Forstmann; Jane Neumann; Sam Wharton; Alexander Mietke; Richard Bowtell; Robert Turner
Journal:  Hum Brain Mapp       Date:  2011-09-20       Impact factor: 5.038

5.  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

6.  QSMGAN: Improved Quantitative Susceptibility Mapping using 3D Generative Adversarial Networks with increased receptive field.

Authors:  Yicheng Chen; Angela Jakary; Sivakami Avadiappan; Christopher P Hess; Janine M Lupo
Journal:  Neuroimage       Date:  2019-11-21       Impact factor: 6.556

7.  Streaking artifact reduction for quantitative susceptibility mapping of sources with large dynamic range.

Authors:  Hongjiang Wei; Russell Dibb; Yan Zhou; Yawen Sun; Jianrong Xu; Nian Wang; Chunlei Liu
Journal:  NMR Biomed       Date:  2015-08-27       Impact factor: 4.044

8.  Rapid multi-orientation quantitative susceptibility mapping.

Authors:  Berkin Bilgic; Luke Xie; Russell Dibb; Christian Langkammer; Aysegul Mutluay; Huihui Ye; Jonathan R Polimeni; Jean Augustinack; Chunlei Liu; Lawrence L Wald; Kawin Setsompop
Journal:  Neuroimage       Date:  2015-08-12       Impact factor: 6.556

9.  Simultaneous Time Interleaved MultiSlice (STIMS) for Rapid Susceptibility Weighted acquisition.

Authors:  Berkin Bilgic; Huihui Ye; Lawrence L Wald; Kawin Setsompop
Journal:  Neuroimage       Date:  2017-04-20       Impact factor: 6.556

10.  Multicenter reproducibility of quantitative susceptibility mapping in a gadolinium phantom using MEDI+0 automatic zero referencing.

Authors:  Kofi Deh; Keigo Kawaji; Marjolein Bulk; Louise Van Der Weerd; Emelie Lind; Pascal Spincemaille; Kelly McCabe Gillen; Johan Van Auderkerke; Yi Wang; Thanh D Nguyen
Journal:  Magn Reson Med       Date:  2018-10-04       Impact factor: 4.668

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