Literature DB >> 22791625

Toward online reconstruction of quantitative susceptibility maps: superfast dipole inversion.

Ferdinand Schweser1, Andreas Deistung, Karsten Sommer, Jürgen Rainer Reichenbach.   

Abstract

Magnetic susceptibility is an intrinsic tissue property that recently became measureable in vivo by a magnetic-resonance based technique called quantitative susceptibility mapping (QSM). Although QSM may be performed without additional acquisition time, for example, in the course of the well-established susceptibility weighted imaging, the applicability of QSM is currently hampered by the numerical complexity and computational cost associated with the reconstruction procedure. This work introduces a novel QSM framework called superfast dipole inversion which allows rapid online reconstruction of susceptibility maps from wrapped raw gradient-echo phase data. The algorithm relies on the extension and combination of several recent algorithms involving the precalculation of convolution kernels and the correction of inversion artifacts. Reconstruction of three-dimensional high resolution susceptibility maps of the human brain was achieved with superfast dipole inversion in less than 20 s on a conventional workstation computer. Thus, superfast dipole inversion opens the door to an implementation of QSM on MR scanner hardware as well as to the routine reconstruction of large cohorts of datasets.
Copyright © 2012 Wiley Periodicals, Inc.

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Year:  2012        PMID: 22791625     DOI: 10.1002/mrm.24405

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


  52 in total

1.  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

2.  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

3.  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

4.  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

Review 5.  Susceptibility-weighted imaging and quantitative susceptibility mapping in the brain.

Authors:  Chunlei Liu; Wei Li; Karen A Tong; Kristen W Yeom; Samuel Kuzminski
Journal:  J Magn Reson Imaging       Date:  2014-10-01       Impact factor: 4.813

6.  Elevated brain oxygen extraction fraction measured by MRI susceptibility relates to perfusion status in acute ischemic stroke.

Authors:  Audrey P Fan; Ahmed A Khalil; Jochen B Fiebach; Greg Zaharchuk; Arno Villringer; Kersten Villringer; Claudine J Gauthier
Journal:  J Cereb Blood Flow Metab       Date:  2019-02-07       Impact factor: 6.200

Review 7.  MRI tools for assessment of microstructure and nephron function of the kidney.

Authors:  Luke Xie; Kevin M Bennett; Chunlei Liu; G Allan Johnson; Jeff Lei Zhang; Vivian S Lee
Journal:  Am J Physiol Renal Physiol       Date:  2016-09-14

8.  Enhancing k-space quantitative susceptibility mapping by enforcing consistency on the cone data (CCD) with structural priors.

Authors:  Yan Wen; Yi Wang; Tian Liu
Journal:  Magn Reson Med       Date:  2015-03-07       Impact factor: 4.668

Review 9.  Susceptibility-weighted imaging: current status and future directions.

Authors:  Saifeng Liu; Sagar Buch; Yongsheng Chen; Hyun-Seok Choi; Yongming Dai; Charbel Habib; Jiani Hu; Joon-Yong Jung; Yu Luo; David Utriainen; Meiyun Wang; Dongmei Wu; Shuang Xia; E Mark Haacke
Journal:  NMR Biomed       Date:  2016-05-18       Impact factor: 4.044

10.  Improved subthalamic nucleus depiction with quantitative susceptibility mapping.

Authors:  Tian Liu; Sarah Eskreis-Winkler; Andrew D Schweitzer; Weiwei Chen; Michael G Kaplitt; A John Tsiouris; Yi Wang
Journal:  Radiology       Date:  2013-05-14       Impact factor: 11.105

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