首页> 外文期刊>NeuroImage >New robust 3-D phase unwrapping algorithms: application to magnetic field mapping and undistorting echoplanar images.
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New robust 3-D phase unwrapping algorithms: application to magnetic field mapping and undistorting echoplanar images.

机译:新的强大的3-D相位展开算法:应用于磁场映射和使回波平面图像失真。

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摘要

The phase, as well as the magnitude, of MRI images can carry useful information. It may be used to encode flow or temperature, or to map the magnetic field for the undistorting of EPIs and automated shimming. In all cases, we measure the extra spin given to nuclei. Unfortunately, we can only measure the final phase of the spins: the rotation is wrapped into the range [-pi, +pi], and to obtain a measure of the parameter of interest the missing multiples of 2pi must be replaced--a process known as phase unwrapping. While simple in principle, standard phase unwrapping algorithms fail catastrophically in the presence of even small amounts of noise. Here we present a new algorithm for robust three-dimensional phase unwrapping, in which unwrapping is guided, so that it initially works on less noisy regions. We test the algorithm on simulated phase data, and on maps of magnetic field, which were then used to successfully undistort EPI images. The unwrapping algorithm could be directly applied to other kinds of phase data.
机译:MRI图像的相位和大小可以携带有用的信息。它可用于编码流量或温度,或绘制磁场以实现EPI的不失真和自动匀场。在所有情况下,我们都测量赋予原子核的额外自旋。不幸的是,我们只能测量自旋的最终阶段:旋转被包裹在范围[-pi,+ pi]中,并且要获得感兴趣的参数的度量,必须替换2pi的缺失倍数–一个过程称为相位展开。尽管原理上很简单,但是即使存在少量噪声,标准相位解缠算法也会灾难性地失败。在这里,我们提出了一种用于鲁棒三维相位展开的新算法,该算法在展开过程中得到了指导,因此它最初可在噪声较小的区域工作。我们在模拟的相位数据和磁场图上测试该算法,然后将其成功地使EPI图像失真。展开算法可以直接应用于其他种类的相位数据。

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