基于多边形像素网格的PET图像重建算法:开发、应用及性能比较

Yu Yunhan, Yan Xia, Wei Wang, Yaqiang Liu, K. Ying, Shi Wang, Tianyu Ma
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引用次数: 1

摘要

系统矩阵作为图像和检测数据之间的关联。系统矩阵的准确表达是PET图像重建的关键环节。然而,由于在现代3D PET扫描仪中检测到大量的响应线(LORs),整个系统矩阵的巨大存储尺寸增加了计算负担。为了解决这一关键问题,我们设计了一个旋转对称的多边形像素网格,在图像域中具有扇形的部分,以有效地压缩矩阵的几何对称性。这种想法主要来自于大多数PET系统中探测环的多边形几何结构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Polygonal pixel grid based PET image reconstruction algorithm: Development, application and performance comparison
System matrix works as an association between image and detected data. Accurate expression of the system matrix is a key component during PET image reconstruction. However, with numerous Line-of-Responses (LORs) detected in modern 3D PET scanner, the huge storage size of a full system matrix increases computational burden. To solve this essential issue, we designed a rotationally symmetric polygonal pixel grid with fan-shaped segments in the image domain to efficiently compress the matrix with geometrical symmetries. This idea mainly came from the polygonal geometry of detector rings in most PET system.
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