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Iterative estimation of T2 to correct echo planar magnetic resonance images

机译:T2的迭代估计以校正回波平面磁共振图像

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摘要

An iterative algorithm has been developed to correct for distortions in echo planar images caused by short T2 components. The values of T2 are initially estimated from a set of images produced by the inverse Fourier-transform of the geometric mean of Hermitian symmetric points. The estimated T2 values are then used to compute k-space data, which when compared with the true data, provide error data sets and corresponding images to iteratively refine the estimates of T2. Images corrected for T2 decay are thereby generated at specified echo times. Computer simulation studies of several phantoms show good convergence under a variety of conditions. This procedure should enable wider data acquisition windows to be utilized in echo planar or spin echo images, leading to better resolution or better signal-to-noise ratio.
机译:已经开发出一种迭代算法来校正由短T2分量引起的回波平面图像中的失真。 T2的值最初从一组图像进行估算,这些图像是由Hermitian对称点的几何平均值的逆Fourier变换产生的。然后,将估计的T2值用于计算k空间数据,将其与真实数据进行比较时,将提供误差数据集和相应的图像以迭代地完善T2的估计。从而在指定的回波时间生成针对T2衰减校正的图像。对几种体模的计算机仿真研究表明,它们在各种条件下均具有良好的收敛性。此过程应能在回波平面或自旋回波图像中使用更宽的数据采集窗口,从而获得更好的分辨率或更好的信噪比。

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