适用于非圆柱形几何形状PET扫描仪的短TI反转恢复（STIR）库评估

Evaluation of STIR Library Adapted for PET Scanners with Non-Cylindrical Geometry.

作者信息

Dao Viet, Mikhaylova Ekaterina, Ahnen Max L, Fischer Jannis, Thielemans Kris, Tsoumpas Charalampos

机构信息

Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds LS2 9JT, UK.

Positrigo AG, 8005 Zurich, Switzerland.

出版信息

J Imaging. 2022 Jun 18;8(6):172. doi: 10.3390/jimaging8060172.

DOI:10.3390/jimaging8060172

PMID:35735971

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9225016/

Abstract

Software for Tomographic Image Reconstruction (STIR) is an open source C++ library used to reconstruct single photon emission tomography and positron emission tomography (PET) data. STIR has an experimental scanner geometry modelling feature to accurately model detector placement. In this study, we test and improve this new feature using several types of data: Monte Carlo simulations and measured phantom data acquired from a dedicated brain PET prototype scanner. The results show that the new geometry class applied to non-cylindrical PET scanners improved spatial resolution, uniformity, and image contrast. These are directly observed in the reconstructions of small features in the test quality phantom. Overall, we conclude that the revised "BlocksOnCylindrical" class will be a valuable addition to the next STIR software release with adjustments of existing features (Single Scatter Simulation, forward projection, attenuation corrections) to "BlocksOnCylindrical".

摘要

断层图像重建软件（STIR）是一个用于重建单光子发射断层扫描和正电子发射断层扫描（PET）数据的开源C++库。STIR具有实验性的扫描仪几何建模功能，可精确模拟探测器放置。在本研究中，我们使用几种类型的数据测试并改进了这一新功能：蒙特卡罗模拟以及从专用脑部PET原型扫描仪获取的实测体模数据。结果表明，应用于非圆柱形PET扫描仪的新几何类提高了空间分辨率、均匀性和图像对比度。这些在测试质量体模中小特征的重建中可直接观察到。总体而言，我们得出结论，经过修订的“BlocksOnCylindrical”类将是下一个STIR软件版本的一个有价值的补充，同时要对现有功能（单散射模拟、前向投影、衰减校正）进行调整以适配“BlocksOnCylindrical”。