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author:

Huang, Yiman (Huang, Yiman.) [1] | Qu, Shuxian (Qu, Shuxian.) [2] | Xie, Yushu (Xie, Yushu.) [3] | Wang, Hanlei (Wang, Hanlei.) [4] | Zhang, Xinlin (Zhang, Xinlin.) [5] | Zhang, Xiaotong (Zhang, Xiaotong.) [6]

Indexed by:

EI Scopus SCIE

Abstract:

Objective: For low-field magnetic resonance imaging (MRI) in unshielded environment, existing methods have been proposed to eliminate electromagnetic interference (EMI) noise in each single radio-frequency (RF) receive coil. In the present study, we propose to use the EMI information from multiple MRI receive coils collectively in EMI denoising. Methods: The proposed method leverages the information of inter-channel correlation, including EMI detectors and RF receive coils to remove EMI noise. Calibration signals from both EMI detectors and RF receivers are concatenated to determine a de-correlation matrix, which is then used to denoise MRI signals. Results: Saline phantom and in vivo experiments demonstrated the efficacy of the proposed method in EMI elimination, showing that the proposed method outperformed advanced EMI elimination methods with up to 16.34% improvement in EMI noise removal percentage (NRP) and 1.58dB improvement in signal-to-noise ratio (SNR), along with reduced computational time. Conclusion: The proposed method effectively removes EMI noise and shows improved performance by using information from all receive coils. Significance: This method allows for the design of multi-receive coils for low-field MRI such as phased-arrays, which have the potential to enhance the performance in noise removal and improve the SNR in MRI signal acquisition.

Keyword:

Calibration Coils Correlation Denoising Detectors Electromagnetic interference EMI low-field MRI Magnetic resonance imaging Noise Noise reduction Radio frequency signal correlation Signal to noise ratio unshielded MRI

Community:

  • [ 1 ] [Huang, Yiman]Zhejiang Univ, Coll Elect Engn, Hangzhou, Peoples R China
  • [ 2 ] [Xie, Yushu]Zhejiang Univ, Coll Elect Engn, Hangzhou, Peoples R China
  • [ 3 ] [Huang, Yiman]Zhejiang Univ, MOE Frontier Sci Ctr Brain Sci & Brain Machine Int, Hangzhou, Peoples R China
  • [ 4 ] [Qu, Shuxian]Zhejiang Univ, MOE Frontier Sci Ctr Brain Sci & Brain Machine Int, Hangzhou, Peoples R China
  • [ 5 ] [Xie, Yushu]Zhejiang Univ, MOE Frontier Sci Ctr Brain Sci & Brain Machine Int, Hangzhou, Peoples R China
  • [ 6 ] [Wang, Hanlei]Zhejiang Univ, MOE Frontier Sci Ctr Brain Sci & Brain Machine Int, Hangzhou, Peoples R China
  • [ 7 ] [Zhang, Xiaotong]Zhejiang Univ, MOE Frontier Sci Ctr Brain Sci & Brain Machine Int, Hangzhou, Peoples R China
  • [ 8 ] [Qu, Shuxian]Zhejiang Univ, Coll Biomed Engn & Instrument Sci, Hangzhou, Peoples R China
  • [ 9 ] [Wang, Hanlei]Zhejiang Univ, Coll Biomed Engn & Instrument Sci, Hangzhou, Peoples R China
  • [ 10 ] [Zhang, Xinlin]Fuzhou Univ, Coll Phys & Informat Engn, Fuzhou, Peoples R China
  • [ 11 ] [Zhang, Xinlin]Fuzhou Univ, Fujian Key Lab Med Instrumentat & Pharmaceut Techn, Fuzhou, Peoples R China
  • [ 12 ] [Zhang, Xiaotong]Zhejiang Univ, Affiliated Hosp 2, Coll Elect Engn, Sch Med,State Key Lab Brain Machine Intelligence, Hangzhou 310027, Peoples R China

Reprint 's Address:

  • [Zhang, Xiaotong]Zhejiang Univ, MOE Frontier Sci Ctr Brain Sci & Brain Machine Int, Hangzhou, Peoples R China;;[Zhang, Xiaotong]Zhejiang Univ, Affiliated Hosp 2, Coll Elect Engn, Sch Med,State Key Lab Brain Machine Intelligence, Hangzhou 310027, Peoples R China

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Source :

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

ISSN: 0018-9294

Year: 2025

Issue: 7

Volume: 72

Page: 2095-2104

4 . 4 0 0

JCR@2023

Cited Count:

WoS CC Cited Count: 1

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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