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Validation of SPECT-CT image reconstruction for the Mediso AnyScan SCP scanner in STIR

机译:STIR中Mediso AnyScan SCP扫描仪的SPECT-CT图像重建验证

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Single photon emission tomography (SPECT) is widely used in clinical practice for a large number of diagnostic applications. However, different hospitals might use different scanners containing different hardware and software technologies, therefore making reproducibility of results a hard task. The aim of this work is to establish the basis for a tool able to include different clinical scanner models to facilitate inter-comparison of activity measurements across different institutions. We used the open source software for tomographic image reconstruction (STIR) and implemented functionalities to read, process and reconstruct the data from the Mediso AnyScan SCP scanner. In particular, the triple energy window method for scatter estimation, a method to re-scale the CT Hounsfield units in attenuation coefficient units (cm−1), SPECT normalisation functionalities and list mode (LM) functionalities were implemented and tested. 3D printed phantom data, with organ inserts filled with 177Lu, and a 99mTc clinical bone study were reconstructed using the implemented corrections and different anatomically-guided algorithms. The effect of the aforementioned correction was studied using ROI analysis and line profiles, whereas visual comparison was carried out between the reconstructed images with the vendor software and with STIR. Moreover, we demonstrated the feasibility of SPECT image reconstruction using the CT and iterative SPECT image estimates as prior information. Finally, a run time performance study showed that, when using multiple cores, an acceleration of a factor 2.7 is achieved for OSEM and around 2 for the other algorithms which involved more image-based operations. The availability of such tool will make SPECT research applications more accessible and reproducible.
机译:单光子发射断层扫描(SPECT)在临床实践中被广泛用于大量诊断应用。但是,不同的医院可能会使用包含不同硬件和软件技术的不同扫描仪,因此要确保结果的可重复性是一项艰巨的任务。这项工作的目的是为能够包含不同临床扫描仪模型的工具建立基础,以促进跨不同机构进行活动测量的相互比较。我们使用了用于断层图像重建(STIR)的开源软件,并实现了从Mediso AnyScan SCP扫描仪读取,处理和重建数据的功能。特别是用于散射估计的三重能量窗口方法,一种以衰减系数单位(cm -1 ),SPECT归一化功能和列表模式(LM)功能已实现并经过测试。 3D打印的幻像数据,器官插入物充满 177 陆某 99m 使用已实施的矫正术和不同的解剖学指导算法重建了Tc临床骨研究。使用ROI分析和线条轮廓研究了上述校正的效果,而使用供应商软件和STIR在重建图像之间进行了视觉比较。此外,我们证明了使用CT和迭代SPECT图像估计作为先验信息来重建SPECT图像的可行性。最后,一项运行时性能研究表明,当使用多核时,OSEM的加速系数是2.7,而其他涉及更多基于图像的操作的算法的加速系数是2。这种工具的可用性将使SPECT研究应用程序更易于访问和再现。

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