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磁共振成像数据的使用以及电阻抗断层成像中各向异性区域的纳入。

The use of magnetic resonance imaging data and the inclusion of anisotropic regions in electrical impedance tomography.

作者信息

Glidewell M E, Ng K T

机构信息

Dept. of Elec. and Computer Engr., New Mexico State University, Las Cruces 88003.

出版信息

Biomed Sci Instrum. 1993;29:251-7.

PMID:8329598
Abstract

Electrical Impedance Tomography (EIT) involves determining the electrical conductivity inside a biological body, given electrical impedance measurements on the surface of the body. This paper will discuss the use of Magnetic Resonance Imaging (MRI) data and the inclusion of anisotropic regions in EIT algorithms to reconstruct a more accurate conductivity profile for a canine torso. MRI data is used to determine the boundaries between regions of different conductivities with greater precision than is presently available using EIT alone. The inclusion of anisotropic regions allows better modeling of the muscle regions (e.g. skeletal muscle) which exhibit a greater conductivity in the direction parallel to the muscle fiber.

摘要

电阻抗断层成像(EIT)涉及在已知生物体表面电阻抗测量值的情况下,确定生物体内的电导率。本文将讨论磁共振成像(MRI)数据的使用以及在EIT算法中纳入各向异性区域,以重建犬类躯干更精确的电导率分布图。与仅使用EIT相比,MRI数据用于更精确地确定不同电导率区域之间的边界。纳入各向异性区域可以更好地对肌肉区域(如骨骼肌)进行建模,这些肌肉区域在平行于肌纤维的方向上表现出更高的电导率。

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