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Likelihood window, energy window, and Bayesian window for scatter rejection in gamma cameras

机译:伽玛相机中散射抑制的似然窗,能量窗和贝叶斯窗

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All gamma cameras used in nuclear medicine have finite energy resolution. Therefore, they cannot perfectly discriminate scattered from unscattered radiation. Different scatter correction methods have been developed to reduce this effect, but it is better to reject scatter events in data acquisition instead of doing scatter correction afterwards. Most conventional ways of rejecting scatter events use energy windows (EWs). An alternative introduced by Milster et al. (1990) is the likelihood window (LW). The authors use this method in their modular gamma scintillation camera that has a 2/spl times/2 array of photomultipliers (PMTs) coupled to a NaI(Tl) crystal. The authors have developed yet another scatter rejection scheme, the Bayesian window (BW). In contrast to the LW and EW, the BW takes into account the simulated or actual scatter spectrum in making a decision to accept or reject a particular photon. The authors compare the effectiveness of scatter rejection by BW, LW, and EW.
机译:核医学中使用的所有伽马相机都具有有限的能量分辨率。因此,它们不能完美地区分来自未散射辐射的散射。已经开发了不同的散射校正方法来减小这种影响,但是最好不要在数据采集中拒绝散射事件,而不是事后进行散射校正。拒绝散射事件的大多数常规方法都使用能量窗口(EW)。 Milster等人介绍的另一种方法。 (1990)是似然窗(LW)。作者在他们的模块化伽玛闪烁照相机中使用了这种方法,该照相机具有2 / spl倍/ 2的光电倍增管(PMT)阵列,与NaI(Tl)晶体耦合。作者开发了另一种散射抑制方案,即贝叶斯窗口(BW)。与LW和EW相比,BW在决定接受或拒绝特定光子时会考虑模拟或实际散射光谱。作者比较了BW,LW和EW的散射抑制效果。

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