导数法峰值锐化算法提高磁感应成像图像分辨率

罗海军; 廖勇; 潘海涛; 温开旭

doi:10.11999/JEIT171102

导数法峰值锐化算法提高磁感应成像图像分辨率

doi: 10.11999/JEIT171102

罗海军^{*廖勇潘海涛温开旭},
廖勇,
潘海涛,
温开旭

基金项目:

国家自然科学基金(51507023)，重庆市科委基础和前沿研究项目(CSTC2016JCYJA0920)，重庆市教委科学技术研究项目( KJ1703063)

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- 被引次数: 0
出版历程
- 收稿日期: 2017-11-24
- 修回日期: 2018-04-16
- 刊出日期: 2018-08-19

Derivative Method Peak Sharpening Algorithm Improves Image Resolution of Magnetic Induction Tomography

LUO Haijun^{*廖勇潘海涛温开旭},
LIAO Yong,
PAN Haitao,
WEN Kaixu

Funds:

The National Natural Science Foundation of China (51507023), The Chongqing Research Program of Basic Research and Frontier Technology (CSTC2016JCYJA0920), The Scientific and Technological Research Program of Chongqing Municipal Education Commission (KJ1703063)

摘要

摘要: 磁感应成像(MIT)是一种利用电磁感应原理重构生物组织电导率分布的非接触式电阻抗成像技术。该文利用亥姆霍兹线圈和20个检测线圈搭建了旋转式磁感应成像系统，利用滤波反投影算法重构图像。分别利用2阶和4阶导数法峰值锐化算法处理单目标和双目标检测线圈的测量数据，通过3个客观参数对比处理前后的重构图像结果。结果证明磁感应成像中导数法峰值锐化能够有效地增加图像质量。
- 磁感应成像 /
- 滤波反投影算法 /
- 图像重建 /
- 峰值锐化
Abstract: Magnetic Induction Tomography (MIT) is a contactless Electrical Impedance Tomography (EIT) technique to reconstruct the conductivity distribution of biological tissue using the principle of electromagnetic induction. In this paper, a rotating magnetic induction imaging system is constructed by using Helmholtz coil and 20 detection coils, with filtered back projection algorithm. The single target and double target detection coil measurement data are processed by the two order and four order derivative peak sharpening algorithm. The measurement data before and after processing of the reconstructed image are compared by three objective parameters. The results show that the magnetic induction imaging derivative method can effectively increase the peak sharpening image quality.
- Magnetic Induction Tomography (MIT) /
- Filtered back projection algorithm /
- Image reconstruction /
- Peak sharpening

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参考文献(18)

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