Fast reconstruction of truncated transmission SPECT data

C. Riddell, A. Savi, M. Gilardi, F. Fazio
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Abstract

A least squares technique for reconstructing truncated data is presented when no a priori information is considered. It is applied to transmission SPECT data. The method consists in including the ramp filter into the conjugate gradient to speed convergence. The sinogram is extrapolated with zeros for filtering but extrapolated values are not considered during backward and forward projections. The first iteration presents artefacts that are corrected as soon as the second iteration. Tikhonov method is used to guarantee a unique solution and stabilize the reconstruction process. The resulting images are biased but this bias is recovered inside the field of view by a simple scaling process. The algorithm is fast and easy to regularize.
截断传输SPECT数据的快速重建
提出了在不考虑先验信息的情况下重建截短数据的最小二乘方法。应用于SPECT数据的传输。该方法通过在共轭梯度中加入斜坡滤波器来加快收敛速度。正弦图是用零外推进行滤波的,但在向后和向前投影时不考虑外推的值。第一次迭代呈现的工件会在第二次迭代中尽快得到纠正。采用Tikhonov方法保证解的唯一性和重建过程的稳定性。所得到的图像是有偏差的,但这种偏差可以通过简单的缩放过程在视场内恢复。该算法速度快,易于正则化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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