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An Iterated Complex Matrix Approach for Simulation and Analysis of Diffusion MRI Processes

机译:扩散MRI过程仿真与分析的迭代复杂矩阵方法

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摘要

We present a novel approach to investigate the properties of diffusion weighted magnetic resonance imaging (dMRI). The process of restricted diffusion of spin particles in the presence of a magnetic field is simulated by an iterated complex matrix multiplication approach. The approach is based on first principles and provides a flexible, transparent and fast simulation tool. The experiments carried out reveals fundamental features of the dMRI process. A particularly interesting observation is that the induced speed of the local spatial spin angle rate of change is highly shift variant. Hence, the encoding basis functions are not the complex exponentials associated with the Fourier transform as commonly assumed. Thus, reconstructing the signal using the inverse Fourier transform leads to large compartment estimation errors, which is demonstrated in a number of 1D and 2D examples. In accordance with previous investigations the compartment size is under-estimated. More interestingly, however, we show that the estimated shape is likely to be far from the true shape using state of the art clinical MRI scanners.
机译:我们提出了一种新颖的方法来研究扩散加权磁共振成像(dMRI)的属性。通过迭代的复杂矩阵乘法方法,模拟了自旋粒子在磁场中的受限扩散过程。该方法基于第一原理,并提供了灵活,透明和快速的仿真工具。进行的实验揭示了dMRI过程的基本特征。一个特别有趣的观察是,局部空间旋转角变化率的感应速度是高度变化的。因此,编码基函数不是通常假定的与傅立叶变换相关联的复指数。因此,使用傅里叶逆变换重建信号会导致较大的车厢估计误差,这在许多1D和2D示例中得到了证明。根据以前的调查,隔间的大小被低估了。但是,更有趣的是,我们显示,使用最新的临床MRI扫描器,估计形状可能与真实形状相去甚远。

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