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Practical iterative reconstruction methods for quantitative cardiac SPECT image reconstruction

机译:定量心脏SPECT图像重建的实用迭代重建方法

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摘要

We proposed a practical iterative reconstruction method for cardiac SPECT imaging. The method consisted of four major parts. First, the first order Chang reconstructed image with attenuation compensation for the chest region was obtained as the initial estimate. The iterative weighted least square-conjugate gradient (WLS-CG) reconstruction algorithm, known for its fast convergence rate, was then applied. A projector/backprojector which modeled the nonuniform attenuation and the spatially variant collimator-detector response was used with the WLS-CG algorithm to provide accurate compensation for the effects of attenuation and collimator-detector response. Finally a smoothing filter was used to suppress noise amplification between iterations. The method was evaluated relative to conventional reconstruction methods in terms of quantitative accuracy, image noise and ventricular wall thickness. We conclude that the practical iterative reconstruction method has great potential for clinical use in providing cardiac SPECT images with high quantitative accuracy and low image noise within a few iterations.
机译:我们提出了一种实用的心脏SPECT成像迭代重建方法。该方法包括四个主要部分。首先,获得对胸部区域具有衰减补偿的一阶Chang重建图像作为初始估计。然后应用以快速收敛速度闻名的迭代加权最小二乘共轭梯度(WLS-CG)重建算法。将非均匀衰减和空间变化的准直仪-探测器响应建模的投影仪/背投仪与WLS-CG算法一起使用,可为衰减和准直仪-探测器响应的影响提供准确的补偿。最后,使用平滑滤波器来抑制迭代之间的噪声放大。相对于常规重建方法,在定量准确性,图像噪声和心室壁厚方面评估了该方法。我们得出的结论是,实用的迭代重建方法在临床上具有巨大潜力,可在几次迭代中为心脏SPECT图像提供高定量精度和低图像噪声。

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