系统仿真学报 ›› 2023, Vol. 35 ›› Issue (10): 2122-2132.doi: 10.16182/j.issn1004731x.joss.23-FZ0799E

• 论文 • 上一篇    下一篇

磁共振成像设备的数字孪生建模关键技术与应用

陈珊珊1(), 汪红志2(), 夏天3   

  1. 1.上海健康医学院 医学影像学院, 上海 201318
    2.华东师范大学 上海市磁共振重点实验室, 上海 200062
    3.上海培云教育科技有限公司, 上海 200433
  • 收稿日期:2023-07-02 修回日期:2023-08-21 出版日期:2023-10-30 发布日期:2023-10-26
  • 通讯作者: 汪红志 E-mail:chenss@sumhs.edu.cn;hzwang@phy.ecnu.edu.cn

Key Technology and Application of Digital Twin Modeling for MRI

Chen Shanshan1(), Wang Hongzhi2(), Xia Tian3   

  1. 1.College of Medical Imaging, Shanghai University of Medicine & Health Science, Shanghai 201318, China
    2.Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai 200062, China
    3.Shanghai Training Cloud Education Technol. Co. , Ltd. , Shanghai 200433, China
  • Received:2023-07-02 Revised:2023-08-21 Online:2023-10-30 Published:2023-10-26
  • Contact: Wang Hongzhi E-mail:chenss@sumhs.edu.cn;hzwang@phy.ecnu.edu.cn
  • About author:Chen Shanshan(1986-), female, lecture, PhD, research area: MRI technology. E-mail: chenss@sumhs.edu.cn
  • Supported by:
    Research Fund of Shanghai University of Medicine &Health Sciences(E4-6101-15-002)

摘要:

随着教育数字化的加快推进,数字化资源及其应用平台搭建日益受到重视。针对磁共振教学培训中存在的难题,基于数字孪生五维模型概念,构建磁共振成像设备数字孪生五维模型框架。 提出一种基于机理模型的建模仿真方法。使用物理实体获取多维物理数据完成数字人建模,提出虚拟采集和图像重建方法生成图像,并利用融合数据进行迭代优化,实现了检查前准备、线圈选择、体位摆位、参数设置、图像处理等全流程三维可视化操作。基于自旋回波、梯度回波和平面回波成像序列开展了应用验证,在实时数据驱动下,仿真结果与实体设备运行结果相一致,满足了教学培训和辅助设计需求,为规模化教学的个性化学习和智能自适应学习提供了资源保障。

关键词: 数字孪生, 磁共振成像, 序列, 机理建模

Abstract:

With the accelerating digitalization in education, the construction of digital resources and application platforms has caught increasing attention. The framework of MRI equipment digital twin five-dimensional model is constructed to solve the problems in teaching and training for magnetic resonance imaging (MRI). A modeling and simulation method based on the mechanism model is proposed. The multi-dimensional physical data are obtained to perform digital human modeling, and the virtual acquisition and image reconstruction method is proposed to generate images. The digital twin data are adopted for iterative optimization to implement the whole process of the three-dimensional visual operation including preparation before inspection, coil selection, patient positioning, parameter setting, and image processing.Application verification is carried out based on the imaging sequences of spin echo, gradient echo, and echo planar. Driven by real-time data, the simulation results are consistent with the operation data of the physical equipment. This meets the needs of teaching training and auxiliary design and guarantees personalized and intelligent adaptive learning under massive teaching arrangements.

Key words: digital twin, magnetic resonance imaging, sequence, mechanism modeling

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