Literature DB >> 25731991

Fast quantitative susceptibility mapping using 3D EPI and total generalized variation.

Christian Langkammer1, Kristian Bredies2, Benedikt A Poser3, Markus Barth4, Gernot Reishofer5, Audrey Peiwen Fan6, Berkin Bilgic7, Franz Fazekas8, Caterina Mainero7, Stefan Ropele8.   

Abstract

Quantitative susceptibility mapping (QSM) allows new insights into tissue composition and organization by assessing its magnetic property. Previous QSM studies have already demonstrated that magnetic susceptibility is highly sensitive to myelin density and fiber orientation as well as to para- and diamagnetic trace elements. Image resolution in QSM with current approaches is limited by the long acquisition time of 3D scans and the need for high signal to noise ratio (SNR) to solve the dipole inversion problem. We here propose a new total-generalized-variation (TGV) based method for QSM reconstruction, which incorporates individual steps of phase unwrapping, background field removal and dipole inversion in a single iteration, thus yielding a robust solution to the reconstruction problem. This approach has beneficial characteristics for low SNR data, allowing for phase data to be rapidly acquired with a 3D echo planar imaging (EPI) sequence. The proposed method was evaluated with a numerical phantom and in vivo at 3 and 7 T. Compared to total variation (TV), TGV-QSM enforced higher order smoothness which yielded solutions closer to the ground truth and prevented stair-casing artifacts. The acquisition time for images with 1mm isotropic resolution and whole brain coverage was 10s on a clinical 3 Tesla scanner. In conclusion, 3D EPI acquisition combined with single-step TGV reconstruction yields reliable QSM images of the entire brain with 1mm isotropic resolution in seconds. The short acquisition time combined with the robust reconstruction may enable new QSM applications in less compliant populations, clinical susceptibility tensor imaging, and functional resting state examinations.
Copyright © 2015 Elsevier Inc. All rights reserved.

Keywords:  Dipole inversion; Iron; Myelin; Quantitative susceptibility mapping; Susceptibility tensor imaging; Total generalized variation; Total variation

Mesh:

Year:  2015        PMID: 25731991     DOI: 10.1016/j.neuroimage.2015.02.041

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  48 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.  Heterogeneity of Cortical Lesion Susceptibility Mapping in Multiple Sclerosis.

Authors:  M Castellaro; R Magliozzi; A Palombit; M Pitteri; E Silvestri; V Camera; S Montemezzi; F B Pizzini; A Bertoldo; R Reynolds; S Monaco; M Calabrese
Journal:  AJNR Am J Neuroradiol       Date:  2017-04-13       Impact factor: 3.825

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

Review 4.  Quantitative Susceptibility Mapping: Concepts and Applications.

Authors:  J R Reichenbach; F Schweser; B Serres; A Deistung
Journal:  Clin Neuroradiol       Date:  2015-07-22       Impact factor: 3.649

5.  Automated adaptive preconditioner for quantitative susceptibility mapping.

Authors:  Zhe Liu; Yan Wen; Pascal Spincemaille; Shun Zhang; Yihao Yao; Thanh D Nguyen; Yi Wang
Journal:  Magn Reson Med       Date:  2019-08-11       Impact factor: 4.668

6.  Susceptibility-Based Neuroimaging: Standard Methods, Clinical Applications, and Future Directions.

Authors:  Salil Soman; Jose A Bregni; Berkin Bilgic; Ursula Nemec; Audrey Fan; Zhe Liu; Robert L Barry; Jiang Du; Keith Main; Jerome Yesavage; Maheen M Adamson; Michael Moseley; Yi Wang
Journal:  Curr Radiol Rep       Date:  2017-02-14

7.  Mapping of thalamic magnetic susceptibility in multiple sclerosis indicates decreasing iron with disease duration: A proposed mechanistic relationship between inflammation and oligodendrocyte vitality.

Authors:  Ferdinand Schweser; Ana Luiza Raffaini Duarte Martins; Jesper Hagemeier; Fuchun Lin; Jannis Hanspach; Bianca Weinstock-Guttman; Simon Hametner; Niels Bergsland; Michael G Dwyer; Robert Zivadinov
Journal:  Neuroimage       Date:  2017-10-31       Impact factor: 6.556

8.  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

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.  Preconditioned total field inversion (TFI) method for quantitative susceptibility mapping.

Authors:  Zhe Liu; Youngwook Kee; Dong Zhou; Yi Wang; Pascal Spincemaille
Journal:  Magn Reson Med       Date:  2016-07-28       Impact factor: 4.668

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