Numerical simulation of endoscopic magnetoacoustic tomography with magnetic induction

被引:8
|
作者
Zheng, Sun [1 ]
Zhen, Ma [1 ]
机构
[1] North China Elect Power Univ, Dept Elect & Commun Engn, Baoding 071003, Peoples R China
关键词
Magnetoacoustic tomography with magnetic; induction (MAT-MI); Endoscopic detection; Numerical simulation; Electrical conductivity; Time-reversal (TR); ELECTRICAL-IMPEDANCE; IMAGE-RECONSTRUCTION; ACOUSTIC TOMOGRAPHY; TIME-REVERSAL; MAT-MI; TISSUE; FIELD; GENERATION;
D O I
10.1016/j.compbiomed.2017.09.002
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Endoscopic magnetoacoustic tomography with magnetic induction (EMAT-MI) provides an interventional tool to detect the electrical conductivity distribution of a tubular structure with high spatial resolution. In this work, a preliminary study on the numerical simulation of EMAT-MI images was conducted. The magnetic excitation, generation and propagation of magnetoacoustic (MA) waves in the multi-layered wall tissues were modeled and numerically simulated. The cross-sectional distribution of the acoustic source and electrical conductivity was recovered from the acoustic pressure series based on time-reversal. The validity has been demonstrated on two computer-generated phantoms. Results suggested that the conductivity boundaries can be clearly distinguished in the images of acoustic-source or conductivity distribution which are highly consistent with the numerical simulation. The resolution of the MA signals excited by the Lorentz force divergence is closely related to the pulse width of the excitation current. Sparse measuring locations and limited-view scanning may reduce the image quality although higher SNR of the MA signals leads to better image reconstruction.
引用
收藏
页码:1 / 14
页数:14
相关论文
共 50 条
  • [1] Analytical and numerical models of the magnetoacoustic tomography with magnetic induction
    Ziolkowski, Marcin
    Gratkowski, Stanislaw
    Zywica, Adam Ryszard
    COMPEL-THE INTERNATIONAL JOURNAL FOR COMPUTATION AND MATHEMATICS IN ELECTRICAL AND ELECTRONIC ENGINEERING, 2018, 37 (02) : 538 - 548
  • [2] Reconstruction of Conductivity Image for Endoscopic Magnetoacoustic Tomography with Magnetic Induction
    Sun, Zheng
    Chen, Peng
    JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS, 2018, 8 (07) : 1468 - 1477
  • [3] Numerical Simulation Method of Acoustic Field Positive Problem based on Magnetoacoustic Tomography with Magnetic Induction
    Xia, Hui
    Liu, Guoqiang
    Li, Yanhong
    Zhang, Yang
    Li, Shiqiang
    Zhang, Laifu
    2010 4TH INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICAL ENGINEERING (ICBBE 2010), 2010,
  • [4] A simulation study of two dimensional magnetoacoustic tomography with magnetic induction
    Li, Xun
    Le, Xu
    Zhu, Shanan
    He, Bin
    2007 JOINT MEETING OF THE 6TH INTERNATIONAL SYMPOSIUM ON NONINVASIVE FUNCTIONAL SOURCE IMAGING OF THE BRAIN AND HEART AND THE INTERNATIONAL CONFERENCE ON FUNCTIONAL BIOMEDICAL IMAGING, 2007, : 364 - +
  • [5] Magnetoacoustic tomography with magnetic induction (MAT-MI) for breast tumor imaging: numerical modeling and simulation
    Zhou, Lian
    Li, Xu
    Zhu, Shanan
    He, Bin
    PHYSICS IN MEDICINE AND BIOLOGY, 2011, 56 (07): : 1967 - 1983
  • [6] Analysis of the Magnetoacoustic Tomography with Magnetic Induction
    Qiu, Lingyun
    Santosa, Fadil
    SIAM JOURNAL ON IMAGING SCIENCES, 2015, 8 (03): : 2070 - 2086
  • [7] Second harmonic magnetoacoustic responses of magnetic nanoparticles in magnetoacoustic tomography with magnetic induction
    郭各朴
    高雅
    李禹志
    马青玉
    屠娟
    章东
    Chinese Physics B, 2020, (03) : 306 - 311
  • [8] Simulation Study on Forward Problem of Magnetoacoustic Tomography with Magnetic Induction Based on Magnetic Nanoparticles
    Yan, Xiaoheng
    Pan, Ye
    Zhang, Ying
    Guang, Sichen
    PROGRESS IN ELECTROMAGNETICS RESEARCH LETTERS, 2019, 87 : 75 - 80
  • [9] Second harmonic magnetoacoustic responses of magnetic nanoparticles in magnetoacoustic tomography with magnetic induction
    Guo, Gepu
    Gao, Ya
    Li, Yuzhi
    Ma, Qingyu
    Tu, Juan
    Zhang, Dong
    CHINESE PHYSICS B, 2020, 29 (03)