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基于改进牛顿-拉夫逊算法的脑出血磁感应断层成像研究

曹弘贵 叶波 姜瑛 罗思琦 曹众楷 欧阳俊林

曹弘贵, 叶波, 姜瑛, 罗思琦, 曹众楷, 欧阳俊林. 基于改进牛顿-拉夫逊算法的脑出血磁感应断层成像研究[J]. 电子与信息学报, 2023, 45(12): 4477-4488. doi: 10.11999/JEIT221393
引用本文: 曹弘贵, 叶波, 姜瑛, 罗思琦, 曹众楷, 欧阳俊林. 基于改进牛顿-拉夫逊算法的脑出血磁感应断层成像研究[J]. 电子与信息学报, 2023, 45(12): 4477-4488. doi: 10.11999/JEIT221393
CAO Honggui, YE Bo, JIANG Ying, LUO Siqi, CAO Zhongkai, OUYANG Junlin. Magnetic Induction Tomography of IntraCerebral Hemorrhage Based on Improved Newton-Raphson Algorithm[J]. Journal of Electronics & Information Technology, 2023, 45(12): 4477-4488. doi: 10.11999/JEIT221393
Citation: CAO Honggui, YE Bo, JIANG Ying, LUO Siqi, CAO Zhongkai, OUYANG Junlin. Magnetic Induction Tomography of IntraCerebral Hemorrhage Based on Improved Newton-Raphson Algorithm[J]. Journal of Electronics & Information Technology, 2023, 45(12): 4477-4488. doi: 10.11999/JEIT221393

基于改进牛顿-拉夫逊算法的脑出血磁感应断层成像研究

doi: 10.11999/JEIT221393
基金项目: 国家自然科学基金(62203195),云南省中青年学术和技术带头人后备人才项目(202305AC160062),云南省大学生创新创业训练计划(2021106740015)
详细信息
    作者简介:

    曹弘贵:男,硕士,博士生,研究方向为电磁无损检测

    叶波:男,博士,教授,博士生导师,研究方向为电磁无损检测与评估、结构健康监测、成像及图像分析

    姜瑛:女,博士,教授,博士生导师,研究方向为软件质量保证与测试、云计算、大数据分析、智能软件工程

    罗思琦:女,博士生,研究方向为电磁无损检测

    曹众楷:男,硕士生,研究方向为电磁无损检测

    通讯作者:

    叶波 yeripple@hotmail.com

  • 中图分类号: TN911.73

Magnetic Induction Tomography of IntraCerebral Hemorrhage Based on Improved Newton-Raphson Algorithm

Funds: The National Natural Science Foundation of China(62203195), The Young and Middle-Aged Academic and Technical Leaders Reserve Talents Project of Yunnan Province (202305AC160062), The Yunnan College Students' Innovation and Entrepreneurship Training Program (2021106740015)
  • 摘要: 针对脑出血磁感应断层成像(MIT)中正问题模型过于简化、图像重建质量较低、算法收敛效率低、病变与背景间伪影较大、耗时较长等问题,该文提出一种用于脑出血MIT的改进牛顿-拉夫逊(NR)算法。将线性反投影(LBP)算法计算结果作为改进NR算法的迭代初值,在目标函数中加入自适应加速惩罚项和L2范数惩罚项,提高算法每一步迭代的效率,减少重建图像的伪影。引入投影算子P施加物理意义上的约束,提高收敛速度并改善成像质量。利用Comsol Multiphysics构建了包含头皮、颅骨、脑脊液和脑实质的真实3维颅脑模型。仿真计算了相位差检测值和灵敏度矩阵用于后续的图像重建。利用所提改进NR算法与5种图像重建算法分别对3个位置出血量分别为24 ml, 14 ml, 2 ml的脑出血进行磁感应断层成像。实验结果表明,所提算法相比其他5种算法重建图像的质量更高,成像时间平均只需NR算法的1/3。使用更少的迭代次数重建出更高质量的图像,并且能实现2 ml脑出血的图像重建,为脑出血的MIT检测提供一种新的有效算法。
  • 图  1  MIT的基本原理及初、次磁场间关系

    图  2  改进NR算法流程图

    图  3  脑出血MIT有限元模型

    图  4  脑出血分布情况

    图  5  位置A,B,C处3个出血量的相位差

    图  6  不同激励-检测组合的灵敏度图

    7  图像重建结果

    表  1  1 MHz下的脑组织电磁特性

    脑组织
    头皮颅骨脑脊液脑实质脑出血
    电导率(S/m)0.0440.0242.0000.1020.822
    介电常数(F/m)50.81451094803030
    下载: 导出CSV

    表  2  相关系数

    脑出血分布TikhonovLandweberCGLSNRNR (优化迭代策略)改进NR (无投影算子)改进NR
    位置A:24 ml0.5050.3550.4900.4830.5120.5130.676
    位置A:14 ml0.4370.3060.4220.4160.4430.4410.595
    位置A: 2 ml0.2690.2090.2550.2530.2750.2670.377
    位置B:24 ml0.4550.3110.4490.4160.4680.4480.590
    位置B:14 ml0.3780.2820.3800.3420.3880.3670.401
    位置B: 2 ml0.2070.1710.1990.1890.2130.2020.286
    位置C:24 ml0.4810.3640.4760.4460.4910.4740.619
    位置C:14 ml0.4070.3080.4040.3750.4170.3970.528
    位置C: 2 ml0.2440.1800.2430.2270.2500.2400.333
    下载: 导出CSV

    表  3  图像误差/归一化均方距离

    脑出血分布TikhonovLandweberCGLSNRNR (优化迭代策略)改进NR (无投影算子)改进NR
    位置A:24 ml0.962/1.1820.993/1.0050.956/0.9680.957/0.9690.961/0.9750.959/0.9700.910/0.949
    位置A:14 ml1.022/1.0301.510/1.5271.163/1.1741.184/0.9870.991/0.9770.975/0.9830.947/0.876
    位置A: 2 ml1.867/1.8722.709/2.6102.505/2.5142.517/2.5251.662/1.6661.860/1.8651.544/1.550
    位置B:24 ml0.970/0.9830.994/1.0070.967/0.9800.969/0.9830.970/0.9840.971/0.9840.938/0.967
    位置B:14 ml1.013/1.0221.525/1.5401.043/1.0521.135/1.1450.997/0.9931.144/1.1530.968/0.920
    位置B: 2 ml1.825/1.7792.226/2.2472.098/2.1112.256/2.2621.716/1.6751.887/1.8911.501/1.505
    位置C:24 ml0.965/0.9780.993/1.0060.961/0.9740.964/0.9770.966/0.9800.965/0.9780.933/0.961
    位置C:14 ml0.990/0.9891.540/1.5671.038/1.0461.101/1.1110.981/0.9671.107/1.1170.962/0.910
    位置C: 2 ml1.663/1.6221.877/1.7651.855/1.8602.026/2.0381.575/1.5101.705/1.7101.354/1.358
    下载: 导出CSV

    表  4  图像重建时间(s)/迭代次数

    脑出血分布TikhonovLandweberCGLSNRNR (优化迭代策略)改进NR (无投影算子)改进NR
    位置A:24 ml0.064/10.027/3000.002/400.750/121.949/330.411/80.223/5
    位置A:14 ml0.078/10.029/3030.002/450.801/131.841/300.406/80.217/5
    位置A: 2 ml0.071/10.041/4600.002/521.134/172.133/350.410/80.287/6
    位置B:24 ml0.061/10.026/3000.001/380.706/111.534/250.405/80.285/6
    位置B:14 ml0.068/10.032/3320.002/400775/121.797/300.391/80.235/5
    位置B: 2 ml0.063/10.042/5100.002/460.983/151.910/320.393/80.293/6
    位置C:24 ml0.061/10.026/3020.002/390.765/121.527/260.414/80.253/5
    位置C:14 ml0.070/10.030/3030.002/400.770/121.678/280.413/80.297/6
    位置C: 2 ml0.064/10.030/3100.002/441.053/151.873/310.396/80.295/6
    下载: 导出CSV
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出版历程
  • 收稿日期:  2022-11-07
  • 修回日期:  2023-03-13
  • 网络出版日期:  2023-03-21
  • 刊出日期:  2023-12-26

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