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Detective quantum efficiency (DQE) in PET scanners: A simulation study

机译:PET扫描仪中的侦探量子效率(DQE):模拟研究

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The aim of the present study is to introduce the detective quantum efficiency (DQE) for the image quality assessment of positron emission tomography (PET) scanners. For this purpose, a thin layer chromatography (TLC) plane source was simulated using a previously validated, scanner and source geometry, Monte Carlo (MC) model. The model was developed with the Geant4 application for tomographic emission (GATE) MC package and reconstructed images obtained with the software for tomographic image reconstruction (STIR), with cluster computing. The GE Discovery ST PET scanner was simulated by using a previously validated code. A plane source consisting of a TLC plate, was simulated by a layer of silica gel on aluminum (Al) foil substrate, immersed in 18F-FDG bath solution (1MBq). Image quality was assessed in terms of the modulation transfer function (MTF) and the normalized noise power spectrum (NNPS) in order to obtain the detective quantum efficiency (DQE). MTF curves were estimated from transverse reconstructed images of the plane source, whereas the NNPS data were estimated from the corresponding coronal images. Images were reconstructed by the maximum likelihood estimation ordered subsets maximum a posteriori one step late (MLE)-OS-MAP-OSL algorithm, by using various subsets 1-21) and iterations 1-20). MTF values were found to increase up to the 12th iteration whereas remain almost constant thereafter. However, the range of the increase in the MTF is limited as the number of subsets increases. The noise levels were found to increase with the corresponding increase of both the number of iterations and subsets. The maximum NNPS value (0.517 mm(2)) was observed for the 420 MLEM-equivalent iterations reconstructed image at 0 cycles/mm. Finally DQE values were found to increase for spatial frequencies up to 0.038 cycles/mm and to decrease thereafter with the corresponding increase in both number of iterations and subsets. The maximum DQE value (0.48 at 0.038 cycles/mm) was obtained for the 8 MLEM-equivalent iterations image. The simulated PET evaluation method based on the TLC plane source can be useful in the quality control and in the further development of PET and SPECT scanners though GATE simulations.
机译:本研究的目的是为正电子发射断层扫描仪(PET)扫描仪的图像质量评估引入侦探量子效率(DQE)。为此目的,使用先前验证的扫描仪和源几何,蒙特卡罗(MC)模型来模拟薄层色谱(TLC)平面源。该模型是用GEANT4应用程序开发的断层发射(门)MC封装,并通过集群计算,用软件获得与断层图像重建(搅拌)的软件获得的重建图像。通过使用先前验证的代码模拟GE Discovery ST PET扫描仪。由TLC板组成的平面源由铝(Al)箔基底上的一层硅胶模拟,浸入18F-FDG浴溶液(1MBQ)中。根据调制传递函数(MTF)和归一化噪声功率谱(NNP)来评估图像质量,以获得检测量子效率(DQE)。从平面源的横向重建图像估计MTF曲线,而NNPS数据估计来自相应的冠状图像。通过使用各种子集1-21)和迭代1-20)通过使用各种子集1-21的最大似然估计(MLE)-OS-MAP-OSL算法来重建图像。发现MTF值增加到第12次迭代,而此后保持几乎恒定。然而,随着子集的数量增加,MTF的增加的范围是有限的。发现噪声水平随着迭代和子集的相应增加而增加。对于0个循环/ mm的420mLEM - 等效迭代重建图像,观察到最大NNPS值(0.517mm(2))。最后发现DQE值增加了最高可达0.038个循环/ mm的空间频率,并且随后随后减少,并且在两个迭代和子集中的相应增加。获得8 MLEM等效迭代图像的最大DQE值(0.48,0.038个循环/ mm)。基于TLC平面源的模拟PET评估方法可用于质量控制,也可在PET和SPECT扫描仪的进一步开发中,尽管栅极模拟。

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