Literature DB >> 21465541

Morphology enabled dipole inversion (MEDI) from a single-angle acquisition: comparison with COSMOS in human brain imaging.

Tian Liu1, Jing Liu, Ludovic de Rochefort, Pascal Spincemaille, Ildar Khalidov, James Robert Ledoux, Yi Wang.   

Abstract

Magnetic susceptibility varies among brain structures and provides insights into the chemical and molecular composition of brain tissues. However, the determination of an arbitrary susceptibility distribution from the measured MR signal phase is a challenging, ill-conditioned inverse problem. Although a previous method named calculation of susceptibility through multiple orientation sampling (COSMOS) has solved this inverse problem both theoretically and experimentally using multiple angle acquisitions, it is often impractical to carry out on human subjects. Recently, the feasibility of calculating the brain susceptibility distribution from a single-angle acquisition was demonstrated using morphology enabled dipole inversion (MEDI). In this study, we further improved the original MEDI method by sparsifying the edges in the quantitative susceptibility map that do not have a corresponding edge in the magnitude image. Quantitative susceptibility maps generated by the improved MEDI were compared qualitatively and quantitatively with those generated by calculation of susceptibility through multiple orientation sampling. The results show a high degree of agreement between MEDI and calculation of susceptibility through multiple orientation sampling, and the practicality of MEDI allows many potential clinical applications.
Copyright © 2011 Wiley-Liss, Inc.

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Year:  2011        PMID: 21465541     DOI: 10.1002/mrm.22816

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


  110 in total

1.  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

2.  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

3.  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

4.  Quantitative oxygenation venography from MRI phase.

Authors:  Audrey P Fan; Berkin Bilgic; Louis Gagnon; Thomas Witzel; Himanshu Bhat; Bruce R Rosen; Elfar Adalsteinsson
Journal:  Magn Reson Med       Date:  2013-09-04       Impact factor: 4.668

5.  Quantitative susceptibility mapping of the motor cortex in amyotrophic lateral sclerosis and primary lateral sclerosis.

Authors:  Andrew D Schweitzer; Tian Liu; Ajay Gupta; Karen Zheng; Stephen Seedial; Alexander Shtilbans; Mona Shahbazi; Dale Lange; Yi Wang; A John Tsiouris
Journal:  AJR Am J Roentgenol       Date:  2015-05       Impact factor: 3.959

6.  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

7.  Intracranial calcifications and hemorrhages: characterization with quantitative susceptibility mapping.

Authors:  Weiwei Chen; Wenzhen Zhu; Iihami Kovanlikaya; Arzu Kovanlikaya; Tian Liu; Shuai Wang; Carlo Salustri; Yi Wang
Journal:  Radiology       Date:  2013-10-28       Impact factor: 11.105

8.  Quantitative mapping of cerebral metabolic rate of oxygen (CMRO2 ) using quantitative susceptibility mapping (QSM).

Authors:  Jingwei Zhang; Tian Liu; Ajay Gupta; Pascal Spincemaille; Thanh D Nguyen; Yi Wang
Journal:  Magn Reson Med       Date:  2014-09-26       Impact factor: 4.668

Review 9.  Region-Specific Iron Measured by MRI as a Biomarker for Parkinson's Disease.

Authors:  Xiaojun Guan; Xiaojun Xu; Minming Zhang
Journal:  Neurosci Bull       Date:  2017-05-17       Impact factor: 5.203

10.  Susceptibility mapping of the dural sinuses and other superficial veins in the brain.

Authors:  Sagar Buch; Yongsheng Chen; E Mark Haacke
Journal:  Magn Reson Imaging       Date:  2018-10-21       Impact factor: 2.546

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