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• Technical Article •
An improved multi-echo field fitting algorithm in quantitative susceptibility mapping
CHEN Jialin  TONG Rui  ZHAO Yu  WANG Yi  LI Jianqi 

Cite this article as: Chen JL, Tong R, Zhao Y, et al. An improved multi-echo field fitting algorithm in quantitative susceptibility mapping. Chin J Magn Reson Imaging, 2020, 11(1): 50-54. DOI:10.12015/issn.1674-8034.2020.01.011.


[Abstract] Objective: To develop a new multi-echo field fitting algorithm to improve the image quality in quantitative susceptibility mapping (QSM).Materials and Methods: Conventional multi-echo field fitting algorithm may run into difficulty in the presence of poor linearity of phase data in QSM. In this study, we developed an improved multi-echo field fitting algorithm based on evaluation of phase linearity with echo time. Magnitude and phase images from 15 healthy participants were acquired. Conventional algorithm and improved algorithm were first used to perform the field fitting, respectively. After a magnitude map guided spatial field unwrapping and background field removal, the remaining tissue field was inverted to generate a susceptibility map. Substantia nigra, red nucleus, caudate nucleus, globus pallidus and putamen were selected as regions of interest. Non-parametric paired samples Wilcoxon signed rank test was conducted to compare the noise difference in the regions of interest on susceptibility maps with conventional algorithm and improved algorithm.Results: The proposed algorithm improved the accuracy of field fitting and reduced the image artifacts in susceptibility map. The noise of bilateral substantia nigra, right red nucleus decreased significantly.Conclusions: The proposed multi-echo field fitting algorithm can be used to improve the image quality of susceptibility map when poor linearity is present in phase data.
[Keywords] quantitative susceptibility mapping；multi-echo field fitting；phase linearity

CHEN Jialin Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Electronic Science, East China Normal University, Shanghai 200062, China

TONG Rui Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Electronic Science, East China Normal University, Shanghai 200062, China

ZHAO Yu Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Electronic Science, East China Normal University, Shanghai 200062, China

WANG Yi Department of Radiology, Weill Medical College of Cornell University, New York, NY 10021, USA

LI Jianqi* Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Electronic Science, East China Normal University, Shanghai 200062, China

*Correspondence to: Li JQ, Email: jqli@phy.ecnu.edu.cn

Conflicts of interest   None.

Received  2019-07-15
Accepted  2019-10-13
DOI: 10.12015/issn.1674-8034.2020.01.011
Cite this article as: Chen JL, Tong R, Zhao Y, et al. An improved multi-echo field fitting algorithm in quantitative susceptibility mapping. Chin J Magn Reson Imaging, 2020, 11(1): 50-54. DOI:10.12015/issn.1674-8034.2020.01.011.

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