Simulation of Magneto-Acousto-Electrical Tomography Based on Approximately Realistic Numerical Breast Model

被引:0
|
作者
Zhang, Wenwei [1 ]
Liu, Guoqiang [1 ,2 ]
Xia, Hui [1 ]
Li, Yuanyuan [1 ]
Li, Shiqiang [1 ]
Li, Xiaonan [1 ]
机构
[1] Chinese Acad Sci, Inst Elect Engn, Beijing 100190, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
基金
中国国家自然科学基金;
关键词
magneto-acousto-electrical tomography; numerical breast model; approximately realistic; simulation; B-scan;
D O I
10.1007/978-981-97-0873-4_72
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Magneto-acousto-electrical tomography (MAET) is a multi-physics coupled imaging technology that combine high contrast advantage of tissue electromagnetic parameters with high resolution advantage of ultrasound. MAET holds great promise in the field of medical imaging, particularly in the early detection of breast cancer. This article presents MAET simulation based on a realistic digital breast model. Subsequently, we utilize B-scan imaging techniques to visualize the results. The findings clearly demonstrate MAET's ability to accurately depict the anatomical structure of breast glands. Although our model lacks malignancies and is relatively straightforward, this study serves as a crucial foundation for advancing magneto-acousto-electrical breast cancer screening techniques. Our goal is to make the simulation model as close as possible to real clinical scenarios and help promote the actual clinical application of MAET based breast cancer screening technology.
引用
收藏
页码:706 / 713
页数:8
相关论文
共 50 条
  • [1] Research on Pneumothorax Detection Based on Magneto-Acousto-Electrical Tomography
    Li C.
    Li Y.
    Liu G.
    [J]. Progress In Electromagnetics Research M, 2021, 106 : 71 - 82
  • [2] Research on Pneumothorax Detection Based on Magneto-Acousto-Electrical Tomography
    Li, Cailian
    Li, Yuanyuan
    Liu, Guoqiang
    [J]. PROGRESS IN ELECTROMAGNETICS RESEARCH M, 2021, 106 : 71 - 82
  • [3] Simulation method of magneto-acousto-electrical tomography for improving computational efficiency
    Li, Cailian
    Wu, Sanxi
    Bu, Shuaiyu
    Li, Yuanyuan
    Liu, Guoqiang
    [J]. JOURNAL OF APPLIED PHYSICS, 2021, 130 (14)
  • [4] Numerical Simulations and Experimental Study of Magneto-Acousto-Electrical Tomography With Plane Transducer
    Li, Yuanyuan
    Liu, Guoqiang
    Xia, Hui
    Xia, Zhengwu
    [J]. IEEE TRANSACTIONS ON MAGNETICS, 2018, 54 (03)
  • [5] A method of the forward problem for magneto-acousto-electrical tomography
    Lv, Jingxiang
    Liu, Guoqiang
    Wang, Xinli
    Xia, Hui
    [J]. TECHNOLOGY AND HEALTH CARE, 2016, 24 : S733 - S738
  • [6] Influence of density change on the detection of breast liposarcoma by magneto-acousto-electrical tomography
    Li, Cailian
    Li, Yuanyuan
    Liu, Guoqiang
    [J]. INTERNATIONAL JOURNAL OF APPLIED ELECTROMAGNETICS AND MECHANICS, 2022, 70 (04) : 433 - 443
  • [7] Optimization of multi-angle Magneto-Acousto-Electrical Tomography (MAET) based on a numerical method
    Sun, Tong
    Zeng, Xin
    Hao, Penghui
    Chin, Chien Ting
    Chen, Mian
    Yan, Jiejie
    Dai, Ming
    Lin, Haoming
    Chen, Siping
    Chen, Xin
    [J]. MATHEMATICAL BIOSCIENCES AND ENGINEERING, 2020, 17 (04) : 2864 - 2880
  • [8] Three-dimensional model of conductivity imaging for magneto-acousto-electrical tomography
    Li, Yuanyuan
    Song, Jiaxiang
    Xia, Hui
    Li, Yanhong
    Liu, Guoqiang
    [J]. JOURNAL OF APPLIED PHYSICS, 2020, 127 (10)
  • [9] Magneto-Acousto-Electrical Tomography With Nonuniform Static Magnetic Field
    Li, Yuanyuan
    Bu, Shuaiyu
    Han, Xuelong
    Xia, Hui
    Ren, Wenting
    Liu, Guoqiang
    [J]. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2023, 72
  • [10] The application of a wavelet filtering method in magneto-acousto-electrical tomography
    Jin, Yuzhang
    Zhao, Hongliang
    Liu, Guoqiang
    Xia, Hui
    Li, Yuanyuan
    [J]. PHYSICS IN MEDICINE AND BIOLOGY, 2023, 68 (14):