一种分析SPECT和PET图像统计特性的自举方法

2001 IEEE Nuclear Science Symposium Conference Record (Cat. No.01CH37310) Pub Date : 2001-11-04 DOI:10.1109/NSSMIC.2001.1008603

I. Buvat, C. Riddell

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引用次数: 10

摘要

我们描述了一种非参数自举方法来估计单光子发射计算机断层扫描(SPECT)和正电子发射断层扫描(PET)图像的统计特性，无论投影和重建算法中的噪声类型如何。通过分析仿真和真实PET数据，该方法可以准确地预测线性和非线性重建算法的重建像素值的统计分布，从而预测方差。

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A bootstrap approach for analyzing the statistical properties of SPECT and PET images

We describe a non-parametric bootstrap method to estimate the statistical properties of single photon emission computed tomography (SPECT) and positron emission tomography (PET) images, whatever the type of noise in the projections and the reconstruction algorithm. Using analytical simulations and real PET data, this method is shown to accurately predict the statistical distribution, hence the variance, of reconstructed pixel values for both linear and nonlinear reconstruction algorithms.

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2001 IEEE Nuclear Science Symposium Conference Record (Cat. No.01CH37310)

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