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Spectral component separation including unwrapping of the phase via a poisson equation utilizing a weighting map

机译:频谱成分分离,包括使用加权图通过泊松方程解开相位

摘要

A method of phase unwrapping by solving the Poisson equation using a weighted iterative algorithm, for use when separating spectral component with magnetic resonance imaging systems. The solution of the Poisson equation is expedited by using a weighting matrix obtained by calculating the average noise level of an in-phase image and using 3-5 times the noise level as a threshold with only pixel intensity levels above the threshold being set equal to one and the other pixels being set to zero. The pixels on the weight matrix are also set to zero according to the size differences of the phase offset per pixel either in the row or column direction. The solution of the Poisson equation is then uniquely operated on to remove a constant (bias) and to improve the fit.
机译:一种使用加权迭代算法求解泊松方程的相位展开方法,用于在磁共振成像系统中分离频谱分量时使用。通过使用加权矩阵来加快泊松方程的求解速度,该加权矩阵是通过计算同相图像的平均噪声水平并将3-5倍的噪声水平作为阈值而获得的,只有像素强度水平设置为等于一个像素和其他像素设置为零。根据行或列方向上每个像素的相位偏移的大小差异,权重矩阵上的像素也设置为零。然后对Poisson方程的解进行唯一运算以消除常数(偏差)并提高拟合度。

著录项

  • 公开/公告号US5701074A

    专利类型

  • 公开/公告日1997-12-23

    原文格式PDF

  • 申请/专利权人 EISCINT LTD.;

    申请/专利号US19960639330

  • 发明设计人 GANG ZHU;

    申请日1996-04-25

  • 分类号G01R33/46;

  • 国家 US

  • 入库时间 2022-08-22 02:40:35

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