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Generalized Stejskal-Tanner Equation. Practical meaning for MRI

机译:广义Stejskal-Tanner方程。 MRI的实际意义

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The problem of signal analysis and later MR imaging in the presence of heterogeneous magnetic field gradients is almost as old as NMR and MRI. This is particularly evident in the case of imaging using a natural contrast like diffusion and derivative techniques such as fiber-tracking. The presentation will focus on the significance of the recently derived Generalized Stejskal-Tanner (GST) equation [1] for the imaging in non-uniform magnetic field gradients. In other words, what we have in reality. A precursory solution assuming the spatiality of the distribution of magnetic field gradients was proposed by Bammer [2]. In that paper, the matrix L(r) which is a function of the position vector r, was called the "gradient coil tensor" and was introduced without derivation. The L(r) could be calculated on the basis of the specification provided by the manufacturer or indicated experimentally using formula (Fig. 1). In our approach, tensor L(r) is characteristic of the MRI sequence and is the gradient of the pattern function p(r) describing the space in which the gradient G is constant (see Fig. 2). It can be also regarded as the Jacobian matrix for the coordinates change from Cartesian to those curvilinear given by p(r).
机译:信号分析的问题和后来在异构磁场梯度存在下的MR成像几乎与NMR和MRI一样古老。在使用像纤维跟踪的自然对比度的自然对比度的成像的情况下,这尤其明显。演示文稿将专注于最近导出的广义Stejskal-Tanner(GST)方程[1]在非均匀磁场梯度中的成像的重要性。换句话说,我们的现实。 Bammer提出了假设磁场梯度分布的空间性的前者解决方案[2]。在该纸张中,作为位置矢量R的函数的矩阵L(R)称为“梯度线圈张量”,并在不推导的情况下引入。 L(R)可以根据制造商提供的规范计算或使用公式指示(图1)。在我们的方法中,张量L(r)是MRI序列的特征,并且是描述梯度G是恒定的空间的图案函数p(r)的梯度(参见图2)。它也可以被视为坐标的曲线矩阵从笛卡尔从笛卡尔改变到P(r)给出的那些曲线。

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