Lee Suk-ho, Seo Jin Keun, Park Chunjae, Lee Byung Il, Woo Eung Je, Lee Soo Yeol, Kwon Ohin, Hahn Jooyoung
Department of Mathematics, Yonsei University, Seoul, Korea.
IEEE Trans Med Imaging. 2006 Feb;25(2):168-76. doi: 10.1109/TMI.2005.862150.
Magnetic resonance electrical impedance tomography (MREIT) is designed to produce high resolution conductivity images of an electrically conducting subject by injecting current and measuring the longitudinal component, Bz, of the induced magnetic flux density B = (Bx, By, Bz). In MREIT, accurate measurements of Bz are essential in producing correct conductivity images. However, the measured Bz data may contain fundamental defects in local regions where MR magnitude image data are small. These defective Bz data result in completely wrong conductivity values there and also affect the overall accuracy of reconstructed conductivity images. Hence, these defects should be appropriately recovered in order to carry out any MREIT image reconstruction algorithm. This paper proposes a new method of recovering Bz data in defective regions based on its physical properties and neighboring information of Bz. The technique will be indispensable for conductivity imaging in MREIT from animal or human subjects including defective regions such as lungs, bones, and any gas-filled internal organs.
磁共振电阻抗断层成像（MREIT）旨在通过注入电流并测量感应磁通密度B =（Bx，By，Bz）的纵向分量Bz来生成导电对象的高分辨率电导率图像。在MREIT中，准确测量Bz对于生成正确的电导率图像至关重要。然而，在磁共振幅度图像数据较小的局部区域，测量得到的Bz数据可能包含基本缺陷。这些有缺陷的Bz数据会导致该区域的电导率值完全错误，并且还会影响重建电导率图像的整体准确性。因此，为了执行任何MREIT图像重建算法，应适当恢复这些缺陷。本文基于Bz的物理特性及其相邻信息，提出了一种在缺陷区域恢复Bz数据的新方法。该技术对于在包括肺部、骨骼和任何充满气体的内部器官等缺陷区域的动物或人体受试者的MREIT电导率成像将是必不可少的。
