Journal of Shanghai Jiao Tong University

Journal of Shanghai Jiaotong University >

2023 , Vol. 57 >Issue 5: 582 - 592

DOI: https://doi.org/10.16183/j.cnki.jsjtu.2022.236

Biomedical Engineering

Fast Parallel Imaging Reconstruction Method Based on SIDWT and Iterative Self-Consistency

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  • Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650504, China

Received date: 2022-06-21

  Revised date: 2022-07-26

  Accepted date: 2022-09-08

  Online published: 2023-02-14

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Abstract

To improve the reconstruction speed of parallel magnetic resonance imaging, an efficient reconstruction method named fSIDWT-SPIRiT is proposed based on shift-invariant discrete wavelets transform (SIDWT) and the iterative self-consistent parallel imaging reconstruction (SPIRiT) model. This method addresses the complex optimization problem containing data consistency term, calibration consistency term, and L1-norm regularization term. First, data consistency term and calibration consistency term are combined and processed, and then solved by a projected fast iterative shrinkage-thresholding algorithm to achieve fast parallel MRI reconstruction. Finally, simulation experiments are conducted using different human organ datasets. The results show that the proposed method is able to guarantee the image reconstruction quality with a faster convergence speed compared with other methods.

Key words： parallel magnetic resonance imaging; iterative self-consistent parallel imaging reconstruction (SPIRiT); image reconstruction; projected fast iterative shrinkage-thresholding algorithm (pFISTA); shift-invariant discrete wavelets transform (SIDWT)

Cite this article

DUAN Jizhong, QIAN Qingqing . Fast Parallel Imaging Reconstruction Method Based on SIDWT and Iterative Self-Consistency[J]. Journal of Shanghai Jiaotong University, 2023 , 57(5) : 582 -592 . DOI: 10.16183/j.cnki.jsjtu.2022.236

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