Literature DB >> 29183004

Adaptive suppression of power line interference in ultra-low field magnetic resonance imaging in an unshielded environment.

Xiaolei Huang1, Hui Dong2, Yang Qiu3, Bo Li3, Quan Tao4, Yi Zhang5, Hans-Joachim Krause6, Andreas Offenhäusser5, Xiaoming Xie7.   

Abstract

Power-line harmonic interference and fixed-frequency noise peaks may cause stripe-artifacts in ultra-low field (ULF) magnetic resonance imaging (MRI) in an unshielded environment and in a conductively shielded room. In this paper we describe an adaptive suppression method to eliminate these artifacts in MRI images. This technique utilizes spatial correlation of the interference from different positions, and is realized by subtracting the outputs of the reference channel(s) from those of the signal channel(s) using wavelet analysis and the least squares method. The adaptive suppression method is first implemented to remove the image artifacts in simulation. We then experimentally demonstrate the feasibility of this technique by adding three orthogonal superconducting quantum interference device (SQUID) magnetometers as reference channels to compensate the output of one 2nd-order gradiometer. The experimental results show great improvement in the imaging quality in both 1D and 2D MRI images at two common imaging frequencies, 1.3 kHz and 4.8 kHz. At both frequencies, the effective compensation bandwidth is as high as 2 kHz. Furthermore, we examine the longitudinal relaxation times of the same sample before and after compensation, and show that the MRI properties of the sample did not change after applying adaptive suppression. This technique can effectively increase the imaging bandwidth and be applied to ULF MRI detected by either SQUIDs or Faraday coil in both an unshielded environment and a conductively shielded room.
Copyright © 2017 Elsevier Inc. All rights reserved.

Keywords:  Magnetic resonance imaging; Noise compensation; Power-line harmonics interference; Superconducting quantum interference device; Ultra-low field

Year:  2017        PMID: 29183004     DOI: 10.1016/j.jmr.2017.11.009

Source DB:  PubMed          Journal:  J Magn Reson        ISSN: 1090-7807            Impact factor:   2.229


  3 in total

1.  Sensor Configuration and Algorithms for Power-Line Interference Suppression in Low Field Nuclear Magnetic Resonance.

Authors:  Xiaolei Huang; Hui Dong; Quan Tao; Mengmeng Yu; Yongqiang Li; Liangliang Rong; Hans-Joachim Krause; Andreas Offenhäusser; Xiaoming Xie
Journal:  Sensors (Basel)       Date:  2019-08-15       Impact factor: 3.576

2.  A low-cost and shielding-free ultra-low-field brain MRI scanner.

Authors:  Yilong Liu; Alex T L Leong; Yujiao Zhao; Linfang Xiao; Henry K F Mak; Anderson Chun On Tsang; Gary K K Lau; Gilberto K K Leung; Ed X Wu
Journal:  Nat Commun       Date:  2021-12-14       Impact factor: 14.919

3.  High-sensitivity in vivo contrast for ultra-low field magnetic resonance imaging using superparamagnetic iron oxide nanoparticles.

Authors:  David E J Waddington; Thomas Boele; Richard Maschmeyer; Zdenka Kuncic; Matthew S Rosen
Journal:  Sci Adv       Date:  2020-07-17       Impact factor: 14.136

  3 in total

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