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首页> 外文期刊>Biomedical Engineering: Applications, Basis and Communications >An additive poisson data modeling of attenuation map reconstruction from post-injection positron emission tomography transmission scan
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An additive poisson data modeling of attenuation map reconstruction from post-injection positron emission tomography transmission scan

机译:注入后正电子发射断层扫描透射扫描的衰减图重建的加性Poisson数据建模

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摘要

We present an additive Poisson data modeling of attenuation map reconstruction from post-injection positron emission tomography transmission scan. The transmission scan data are modeled as a collection of independent Poisson observations which consist of true transmission, cross-contamination emission and random coincidences. The mean values of cross-contamination emission and random data are estimated by using Luk's approximation and Zaers' method, respectively. The unknown attenuation map is also modeled using a Gibbs image prior. Under the paradigm of Bayesian statistics, a pre-conditioned conjugate gradient algorithm is then used to compute a maximum a posteriori estimate of the attenuation map by maximizing over the posterior density. Evaluations are conducted on clinical data collected from a CTI EXACT HR+ scanner. Experimental results have indicated that the reconstructed results of attenuation map by the proposed reconstruction algorithm match well with theoretical values of soft tissue, bone and lung under 511 keV photons.
机译:我们提出从后注入正电子发射断层扫描透射扫描的衰减图重建的加性Poisson数据建模。传输扫描数据被建模为独立的泊松观测值的集合,这些观测值包括真实传输,交叉污染发射和随机巧合。交叉污染排放和随机数据的平均值分别使用Luk近似和Zaers方法估算。未知的衰减图也使用Gibbs图像进行建模。在贝叶斯统计范式下,预处理共轭梯度算法随后用于通过最大化后验密度来计算衰减图的最大后验估计。对从CTI EXACT HR +扫描仪收集的临床数据进行评估。实验结果表明,所提出的重建算法的衰减图重建结果与511 keV光子下的软组织,骨骼和肺的理论值非常吻合。

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