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Monte Carlo noise in full Monte Carlo ML-EM and dual matrix reconstructions in positron emission tomography

机译:完整蒙特卡罗ML-EM中的蒙特卡洛噪声和正电子发射断层扫描中的双矩阵重建

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摘要

Monte Carlo (MC) simulations in positron emission tomography (PET) play an important role in detector modeling and algorithm testing. Nowadays, these simulation are also increasingly used for scatter correction during reconstruction. This can be done ideally by using MC simulations to calculate the system matrix including scatter (full matrix approach). Another approach to incorporate MC simulations into the reconstruction is using a MC based projector and attenuation based back-projector, avoiding the storage of the matrix {dual matrix (DM) approach). It appears desirable to compare these two methods for PET and investigate the reconstruction accuracy in the light of MC noise. For this purpose a method to estimate the error introduced by the matrix, the sinogram or the projector based on repeated simulations with different MC seeds is introduced. Simulations of a single ring scanner (due to storage limitations) were performed.
机译:正电子发射断层扫描(PET)中的Monte Carlo(MC)模拟在检测器建模和算法测试中起着重要作用。如今,这些模拟也越来越多地用于重建过程中的散射校正。理想情况下,可以通过使用MC仿真来计算包括分散在内的系统矩阵(全矩阵方法)来完成此操作。将MC仿真纳入重建的另一种方法是使用基于MC的投影仪和基于衰减的反投影仪,避免存储矩阵(双矩阵(DM)方法)。比较这两种PET方法并根据MC噪声研究重建精度似乎是可取的。为此,引入了一种方法,该方法基于具有不同MC种子的重复模拟来估计由矩阵,正弦图或投影仪引入的误差。进行了单环形扫描仪的模拟(由于存储限制)。

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