成像体模
稳健性(进化)
有限差分法
有限差分
反问题
断层摄影术
数学
有限元法
算法
计算机科学
数学分析
物理
光学
基因
热力学
生物化学
化学
作者
Chunyi Liu,Jin Jin,Lei Guo,Mingyan Li,Yasvir A. Tesiram,Haiwei Chen,Feng Liu,Xuegang Xin,Stuart Crozier
标识
DOI:10.1088/1361-6560/aacc35
摘要
Magnetic resonance electrical property tomography (MR-EPT) reconstructs electrical properties (EPs) from measured magnetic fields in magnetic resonance imaging (MRI) systems. In this study, an MR-EPT method was proposed that utilized a new finite difference approximation of the involved differential wave equation. Compared with existing MR-EPT approaches, the construction of the system matrix involves applying the first derivative twice based on a larger number of neighbouring finite-difference grids, which is different from a standard Laplacian operator on a regular grid structure, leading to a better conditioned linear inverse problem. With improved noise robustness, more faithful EPs can be obtained by the proposed method, particularly at tissue boundaries and regions with a poorly measured magnetic field (low signal-to-noise ratio). Numerical simulations with a specially designed multi-slice phantom and an anatomically accurate head model (Duke) have demonstrated that the proposed method can provide a more faithful reconstruction of EPs compared to existing methods, which usually offer unreliable solutions associated with traditional finite difference approximation of the central wave equation and unrealistic assumptions. Experiments on a 9.4 T MRI system have been conducted to validate the simulations.
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