3D PET image reconstruction based on the maximum likelihood estimation method (MLEM) algorithm
3D PET image reconstruction based on the maximum likelihood estimation method (MLEM) algorithm
复制标题
基于最大似然估计法（MLEM）算法的3D PET图像重建
DOI：
10.1515/bams-2013-0106
复制
发表时间：
2014
影响因子：
1.2
通讯作者：
N. Zon
中科院分区：
文献类型：
--
作者：
A. Slomski;Z. Rudy;T. Bednarski;P. Bialas;E. Czerwiński;L. Kaplon;A. Kochanowski;G. Korcyl;J. Kowal;P. Kowalski;T. Kozik;W. Krzemień;M. Molenda;P. Moskal;S. Niedźwiecki;M. Palka;M. Pawlik;L. Raczyński;P. Salabura;N. Gupta;M. Silarski;J. Smyrski;A. Strzelecki;W. Wiślicki;M. Zielinski;N. Zon
正电子发射断层扫描（PET）不直接测量图像。相反，PET扫描测量视场边界的正弦图，包括连接两个探测器的所有计数之和的测量。因为在典型的PET结构中有大量的探测器，所以有许多可能的探测器对与测量有关。问题是如何将测量结果转化为图像（这称为成像）。随着迭代重建技术的引入，PET图像质量得到了显著改善。这是在大约20年前实现的（随着新的强大计算处理器的出现）。然而，三维成像仍然是一个挑战。图像重建算法的目的是处理大量（数百万）响应线和数百万检测到的光子的不完美计数数据，以产生显示标记分子在空间中的分布的图像。
Abstract A positron emission tomography (PET) scan does not measure an image directly. Instead, a PET scan measures a sinogram at the boundary of the field-of-view that consists of measurements of the sums of all the counts along the lines connecting the two detectors. Because there is a multitude of detectors built in a typical PET structure, there are many possible detector pairs that pertain to the measurement. The problem is how to turn this measurement into an image (this is called imaging). Significant improvement in PET image quality was achieved with the introduction of iterative reconstruction techniques. This was realized approximately 20 years ago (with the advent of new powerful computing processors). However, three-dimensional imaging still remains a challenge. The purpose of the image reconstruction algorithm is to process this imperfect count data for a large number (many millions) of lines of response and millions of detected photons to produce an image showing the distribution of the labeled molecules in space.