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基于物理模型的ISTAVS-Net多线圈MRI图像重建

黄敏 朱俊琳 考宇辰 周到 唐奇伶

波谱学杂志2024,Vol.41Issue(4):418-429,12.
波谱学杂志2024,Vol.41Issue(4):418-429,12.DOI:10.11938/cjmr20243109

基于物理模型的ISTAVS-Net多线圈MRI图像重建

Multi-Coil MRI Image Reconstruction Based on ISTAVS-Net of Physical Model

黄敏 1朱俊琳 1考宇辰 1周到 1唐奇伶1

作者信息

  • 1. 中南民族大学 生物医学工程学院,湖北 武汉 430074
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摘要

Abstract

How to improve the speed of MRI is a standing problem in the field of magnetic resonance.A commonly used approach for acceleration is multi-coil scan.However,when the acceleration factor exceeds 4,the image quality obtained by traditional compressed sensing magnetic resonance imaging(CS-MRI)reconstruction algorithms becomes unsatisfactory.In this study,we propose a multi-coil MRI image reconstruction method named as ISTAVS algorithm based on physical model.It combines the ISTA algorithm with the splitting idea of VS-Net,and is expanded into an ISTAVS-Net.Each iteration step is combined with the network module,which has higher interpretability than black box U-Net.The residual mechanism is introduced into the ISTAVS-Net to increase the non-linear expression ability and accuracy.Sparse transformation,shrinkage threshold and regularization parameter are automatically learned during training,which increases the flexibility of reconstruction.The test results of the Globus knee dataset show that the ISTAVS-Net outperforms traditional L1-ESPIRiT and ISTA algorithm by multiple indicators,including the improvement of image quality and performance metrics over U-Net,ISTA-Net+and VS-Net at different acceleration factors,and the ability to recover tissue details at high acceleration factors.The proposed network demonstrates good robustness and is more suitable for fast and high-quality reconstruction of data acquired on clinical MR scanners,thereby can expand the application range of MRI.

关键词

磁共振成像/物理模型/图像重建/多线圈欠采样/变量拆分网络/迭代收缩阈值算法

Key words

magnetic resonance imaging/physical model/image reconstruction/multi-coil under-sampling/VS-Net/ISTA algorithm

分类

医药卫生

引用本文复制引用

黄敏,朱俊琳,考宇辰,周到,唐奇伶..基于物理模型的ISTAVS-Net多线圈MRI图像重建[J].波谱学杂志,2024,41(4):418-429,12.

基金项目

湖北省自然科学基金资助项目(2020CFB837) (2020CFB837)

中央高校基本科研业务费专项资金资助项目(CZZ21006) (CZZ21006)

中央高校基本科研业务费专项资金资助项目(CZQ23032). (CZQ23032)

波谱学杂志

OACSTPCD

1000-4556

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