DOI-PET image reconstruction with accurate system modeling that reduces redundancy of the imaging system
DOI-PET image reconstruction with accurate system modeling that reduces redundancy of the imaging system
复制标题
DOI-PET 图像重建具有精确的系统建模，可减少成像系统的冗余
DOI：
--
复制
发表时间：
2003
期刊：
影响因子：
--
通讯作者：
H. Murayama
中科院分区：
文献类型：
--
作者：
T. Yamaya;N. Hagiwara;T. Obi;Masahiro Yamaguchi;K. Kita;N. Ohyama;K. Kitamura;T. Hasegawa;H. Haneishi;H. Murayama
日本国立放射科学研究所正在开发一种测量相互作用深度信息的高性能正电子发射断层扫描仪。具有系统响应函数的精确建模的图像重建方法已经成功地用于改善PET图像质量。然而，难以将这些方法应用于DOI-PET扫描仪，因为DOI-PET数据的维度与DOI层的数量的平方成比例地增加。在本文中，我们提出了一个压缩的成像系统模型的DOI-PET图像重建，以减少计算成本，同时保持图像质量。该方法的基本思想是DOI-PET成像系统是高度冗余的。首先，DOI-PET数据被转换成紧凑的数据，使得具有高度相关的灵敏度函数的数据箱被组合。然后，图像重建方法的基础上准确的系统建模，如最大似然期望最大化（ML-EM），应用。所提出的方法被施加到模拟数据的DOI-PET扫描仪操作在2-D模式。然后研究了背景噪声和空间分辨率之间的折衷关系。数值仿真结果表明，该方法后ML-EM有效地降低了计算成本，同时保持了准确的系统建模和DOI信息的优势。
A high-performance positron emission tomography (PET) scanner, which measures depth-of-interaction (DOI) information, is under development at the National Institute of Radiological Sciences in Japan. Image reconstruction methods with accurate modeling of the system response functions have been successfully used to improve PET image quality. It is, however, difficult to apply these methods to the DOI-PET scanner because the dimension of DOI-PET data increases in proportion to the square of the number of DOI layers. In this paper, we propose a compressed imaging system model for DOI-PET image reconstruction, in order to reduce computational cost while keeping image quality. The basic idea of the proposed method is that the DOI-PET imaging system is highly redundant. First, DOI-PET data is transformed into compact data so that data bins with highly correlating sensitivity functions are combined. Then image reconstruction methods based on accurate system modeling, such as the maximum likelihood expectation maximization (ML-EM), are applied. The proposed method was applied to simulated data for the DOI-PET scanner operated in 2-D mode. Then the tradeoff between the background noise and the spatial resolution was investigated. Numerical simulation results show that the proposed method followed by ML-EM reduces computational cost effectively while keeping the advantages of the accurate system modeling and DOI information.
DOI：
10.1364/josaa.14.002914
发表时间：
1997-11-01
影响因子：
1.9
作者：
Barrett, HH;White, T;Parra, LC
通讯作者：
Parra, LC