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Utilization of Boundary Conditions in MR Image Reconstruction

机译:边界条件在磁共振图像重建中的应用

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This article discusses two-dimensional reconstruction of the internal conductivity distribution for a human head tissues imaging and for the determination of corresponding brain tissue changes with the help of the Magnetic Resonance Electrical Impedance Tomography (MREIT) method. MREIT is a bio-imaging modality providing cross-sectional conductivity images with a high spatial resolution from measurements of internal magnetic flux density produced by externally injected currents. The new algorithm for the image conductivity reconstruction, which uses the internal current vector information with respect to corresponding boundary conditions, was developed. This algorithm was applied to the several computer simulations to demonstrate the feasibility. Obtained conductivity reconstruction results are presented and the reached experience is discussed. The future research direction is also proposed.
机译:本文讨论了二维重建的内部电导率分布,用于人头组织成像以及借助磁共振电阻抗层析成像(MREIT)方法确定相应的脑组织变化。 MREIT是一种生物成像模式,可通过测量由外部注入电流产生的内部磁通密度来提供具有高空间分辨率的横截面电导率图像。开发了用于图像电导率重建的新算法,该算法使用了与相应边界条件有关的内部电流矢量信息。该算法被应用于几种计算机仿真中以证明其可行性。给出了获得的电导率重建结果,并讨论了获得的经验。还提出了未来的研究方向。

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