上海交通大学学报

上海交通大学学报 >

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

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

生物医学工程

基于SIDWT和迭代自一致性的快速并行成像重建方法

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  • 昆明理工大学 信息工程与自动化学院,昆明 650504
段继忠(1984-),副教授,现主要从事图像处理、深度学习和基于GPU的并行计算等研究;E-mail:duanjz@kust.edu.cn.

收稿日期: 2022-06-21

  修回日期: 2022-07-26

  录用日期: 2022-09-08

  网络出版日期: 2023-02-14

基金资助

国家自然科学基金地区科学基金项目(61861023)

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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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摘要

为提高并行磁共振成像的重建速度,基于平移不变离散小波变换(SIDWT)和迭代自一致性并行成像重建(SPIRiT)模型,提出一种高效的重建方法fSIDWT-SPIRiT.该方法针对含有数据一致项、校正一致项和L1范数正则项的复杂优化问题,首先将数据一致项和校正一致项进行合并处理,之后利用快速投影迭代软阈值算法进行求解以实现快速并行磁共振成像重建.最后,在不同人体器官的数据集上进行测试.仿真实验结果表明:与其他方法相比,该方法能够在保证图像重建质量的同时,具有更快的收敛速度.

关键词： 并行磁共振成像; 迭代自一致性并行成像重建模型; 图像重建; 快速投影迭代软阈值算法; 平移不变离散小波变换

本文引用格式

段继忠, 钱青青 . 基于SIDWT和迭代自一致性的快速并行成像重建方法[J]. 上海交通大学学报, 2023 , 57(5) : 582 -592 . DOI: 10.16183/j.cnki.jsjtu.2022.236

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)

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