On the conductivity imaging by MREIT: available resolution and noisy effect
On the conductivity imaging by MREIT: available resolution and noisy effect
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DOI：
10.1088/1742-6596/73/1/012013
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发表时间：
2007-06
期刊：
影响因子：
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通讯作者：
J. Liu;J. Seo;M. Sini;E. Woo
中科院分区：
文献类型：
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作者：
J. Liu;J. Seo;M. Sini;E. Woo
磁共振电阻抗成像（MREIT）是一种新的医学成像技术，旨在提供生物组织的电导率图像。与传统的电阻抗断层成像（EIT）相比，MREIT从推导出的组织内部磁场信息中重建出组织内部的电导率。自20世纪90年代末以来，MREIT成像技术在实验和数值上都取得了重大进展。然而，对MREIT算法的理论分析还处于起步阶段。本文旨在介绍MREIT技术的发展现状，并对MREIT算法中的调和Bz算法的收敛性和数值实现进行研究。本文介绍了MREIT算法在收敛性问题上的一些新进展。文中还给出了与噪声效应有关的一些问题和数值实现。
Magnetic resonance electrical impedance tomography (MREIT) is a new technique in medical imaging, which aims to provide electrical conductivity images of biological tissue. Compared with the traditional electrical impedance tomography (EIT), MREIT reconstructs the interior conductivity from the deduced magnetic field information inside the tissue. Since the late 1990s, MREIT imaging techniques have made significant progress experimentally and numerically. However, the theoretical analysis on the MREIT algorithms is still at the initial stage. This paper aims to give a state of the art of the MREIT technique and to concern the convergence property as well as the numerical implementation of harmonic Bz algorithm, one of the well-implementation MREIT algorithms. We present some late advances in the convergence issues of MREIT algorithm. Some open problems related to the noisy effects and the numerical implementations are also given.