论文标题
评估基于蒙特 - 卡洛的系统响应矩阵完整性及其对正电子发射断层扫描中图像质量的影响
Evaluation of Monte-Carlo-based System Response Matrix Completeness and its Impact on Image Quality in Positron Emission Tomography
论文作者
论文摘要
正电子发射断层扫描（PET）中使用的迭代算法的主要优势在于它们能够引入发挥作用的精确模型的能力，其中包括检测过程的统计性质，以及对辐射 - 辐射 - 辐射 - 介绍相互作用的详细描述。成像系统采集数据的过程在系统响应模型或系统响应矩阵（SRM）中描述。在PET中，该矩阵的元素对应于从给定的检测元件（例如一对s骨晶体）或响应线（LOR）沿给定的体积的某个元素（Voxel）发出的一对巧合的gamma。每种响应线涉及的素数和每个矩阵元素上的统计误差直接取决于模拟生成SRM的复合事件的数量。本文的主要目的是首先评估这两个参数的行为，其次是估计它们对临床前PET成像中整体图像质量的影响。我们的结果表明，在迭代重建算法中使用的蒙特卡洛生成的系统响应矩阵对图像质量的统计差异的直接影响。
A major strength of iterative algorithms used in positron emission tomography (PET) lies in their abilities to introduce precise models of the physics at play, which includes the statistical nature of the detection processes, and a detailed description of the radiation-matter interactions. The process of data acquisition by the imaging system is described in a system response model, or system response matrix (SRM). In PET, elements of this matrix correspond to a probability of a coincident pair of gamma emitted from a certain element of the imaged volume (voxel) to be detected by the apparatus along a given pair of detection elements (e.g. a pair of scintillating crystals), or line of response (LoR). The number of voxels involved for each line of response and the statistical error on each matrix element are directly dependent on the number of coincident events simulated to generate the SRM. The main goal of this paper is to first evaluate the behavior of these two parameters and secondly to estimate their impact on the overall image quality in preclinical PET imaging. Our results show the direct impact of the statistical variance of the Monte-Carlo generated System Response Matrices used in iterative reconstruction algorithms on image quality.
