Improved Statistics Based Positioning Scheme for Continuous Thick Crystal PET Detectors
Improved Statistics Based Positioning Scheme for Continuous Thick Crystal PET Detectors
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DOI：
10.1109/tns.2013.2250302
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发表时间：
2012-10
影响因子：
1.8
通讯作者：
W. Yonggang;Cheng Xinyi;L. Deng
中科院分区：
文献类型：
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作者：
W. Yonggang;Cheng Xinyi;L. Deng
只要提供一种有效的定位算法，基于连续晶体的PET探测器可以成为目前高分辨率像素化PET探测器的理想替代方案。基于统计的定位(SBP)方案因其较高的定位性能而备受关注。然而，我们发现二维受激布里渊散射(2D SBP)所依赖的高斯分布假设对于厚晶体探测器是不准确的。假设与实际情况之间的差异可能会导致严重的性能下降。为了解决这一问题，我们提出了改进的二维SBP(改进的基于统计的定位)方案。利用我们的实验数据，对2D SBP和ISBP的性能进行了评估和比较。通过事件跟踪的方法，揭示和分析了二维SBP和ISBP的不同行为。ISBP更适用于晶体较厚的探测器。此外，我们使用相同的实验数据，比较了ISBP和人工神经网络位置估计器的性能。讨论了两种定位算法的特点。
PET detectors based on continuous crystal could be an ideal alternative for current high resolution pixelated PET detectors as long as an effective positioning algorithm is provided. Statistics Based Positioning (SBP) scheme has drawn much attention for its high positioning performance. However, we found that the Gaussian distribution assumption, which the two dimensional SBP (2D SBP) relies on, is inaccurate for detectors with thick crystal. The discrepancy between the assumption and the realistic situation could result in serious performance degradation. To address the problem, we propose to improve 2D SBP as ISBP (Improved Statistics Based Positioning) scheme. Using our experimental data, the performance of 2D SBP and ISBP are evaluated and compared. By the event tracking method, the different behavior of 2D SBP and ISBP is revealed and analyzed. ISBP is more suitable for detectors with thick crystal. In addition, we compare the performance by ISBP and the artificial neural network position estimator using the same experimental data. The characteristics of both positioning algorithms are discussed.