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A new approach for electrical properties estimation using a global integral equation and improvements using high permittivity materials

机译:一种使用全局积分方程估算电特性的新方法,并使用高介电常数材料进行改进

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Electrical Properties Tomography (EPT) using MRI is a technique that has been developed to provide a new contrast mechanism for in vivo imaging. Currently the most common method relies on the solution of the homogeneous Helmholtz equation, which has limitations in accurate estimation at tissue interfaces. A new method proposed in this work combines a Maxwell's integral equation representation of the problem, and the use of high permittivity materials (HPM) to control the RF field, in order to reconstruct the electrical properties image. The magnetic field is represented by an integral equation considering each point as a contrast source. This equation can be solved in an inverse method. In this study we use a reference simulation or scout scan of a uniform phantom to provide an initial estimate for the inverse solution, which allows the estimation of the complex permittivity within a single iteration. Incorporating two setups with and without the HPM improves the reconstructed result, especially with respect to the very low electric field in the center of the sample. Electromagnetic simulations of the brain were performed at 3 T to generate the B(1)(+)field maps and reconstruct the electric properties images. The standard deviations of the relative permittivity and conductivity were within 14% and 18%, respectively for a volume consisting of white matter, gray matter and cerebellum. (C) 2015 Elsevier Inc. All rights reserved.
机译:使用MRI的电学断层扫描(EPT)是一项已开发的技术,可为体内成像提供新的对比机制。当前,最常用的方法依赖于齐次亥姆霍兹方程的求解,该方程在组织界面的精确估计方面存在局限性。这项工作中提出的一种新方法结合了问题的麦克斯韦积分方程表示法,以及使用高介电常数材料(HPM)来控制RF场,以重建电特性图像。磁场由将每个点都作为对比源的积分方程表示。该方程可以用逆方法求解。在这项研究中,我们使用参考仿真或均匀体模的侦察扫描来提供反解的初始估计,从而可以在单次迭代中估计复介电常数。结合使用带有和不带有HPM的两个设置,可以改善重建结果,尤其是相对于样品中心极低的电场而言。在3 T下对大脑进行电磁仿真,以生成B(1)(+)场图并重建电特性图像。对于由白质,灰质和小脑组成的体积,相对介电常数和电导率的标准偏差分别在14%和18%之内。 (C)2015 Elsevier Inc.保留所有权利。

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