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

被引：0
|
作者：
Duan J. [1 ]
Qian Q. [1 ]
机构：
[1] Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming
来源：
Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University | 2023年 / 57卷 / 05期
关键词：
image reconstruction; iterative self-consistent parallel imaging reconstruction (SPIRiT); parallel magnetic resonance imaging; projected fast iterative shrinkage-thresholding algorithm (pFISTA); shift-invariant discrete wavelets transform (SIDWT);
D O I：
10.16183/j.cnki.jsjtu.2022.236
中图分类号：
学科分类号：
摘要：
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. © 2023 Shanghai Jiao Tong University. All rights reserved.
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页码：582 / 592
页数：10
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