SPECT中的Monte Carlo层析成像重建对自举和生成事件数量的影响
Monte Carlo tomographic reconstruction in SPECT impact of bootstrapping and number of generated events
摘要：
在单光子发射计算机断层成像（SPECT）中，通常通过执行一组二维（2D）解析或迭代重建来重建的3D图像也可以使用涉及3D投影仪的迭代重建算法来重建。精确的蒙特卡罗（MC）模拟对影响成像过程的所有物理效应进行建模，可以用于估计该投影仪。然而，投影仪的精度受到MC模拟的随机性质的影响。在本文中，我们研究了重建图像的准确性相对于用于估计MC投影机的模拟历史的数量。此外，我们还研究了在估计投影机时应用自举技术的影响
英文摘要：
In Single Photon Emission Computed Tomography (SPECT), 3D images usually reconstructed by performing a set of bidimensional (2D) analytical or iterative reconstructions can also be reconstructed using an iterative reconstruction algorithm involving a 3D projector. Accurate Monte Carlo (MC) simulations modeling all the physical effects that affect the imaging process can be used to estimate this projector. However, the accuracy of the projector is affected by the stochastic nature of MC simulations. In this paper, we study the accuracy of the reconstructed images with respect to the number of simulated histories used to estimate the MC projector. Furthermore, we study the impact of applying the bootstrapping technique when estimating the projector
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