Data driven respiratory signal detection in PET taking advantage of time-of-flight data
Data driven respiratory signal detection in PET taking advantage of time-of-flight data
复制标题
利用飞行时间数据进行 PET 中数据驱动的呼吸信号检测
DOI：
10.1109/nssmic.2016.8069426
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发表时间：
2016
期刊：
影响因子：
--
通讯作者：
Bertolli O
中科院分区：
文献类型：
--
作者：
Bertolli O
呼吸门控是解决胸部PET成像中运动相关问题的强大工具。在当前的扫描仪上，呼吸信号是从外部设备获得的，而使用数据驱动方法，它可以直接从数据中提取。这项工作的目的是显示增加的潜力的应用程序的主成分分析（PCA）的TOF数据。我们提出了一种保留TOF信息的方法，并将其与非TOF方法进行比较。我们测试了16 FDG肿瘤患者的方法，监测与RPM相机。为了进一步研究TOF的益处，将PCA选择性地应用于与中心等距的TOF箱的集合。针对所有获得的呼吸信号分析与RPM、噪声水平和相似性的相关性。我们的分析结果表明，保留到正弦图的TOF信息大大提高了提取的呼吸信号的质量。
Respiratory gating is a powerful tool for tackling motion-related issues in chest PET imaging. On current scanners the respiratory signal is obtained from external devices, whereas with Data-Driven methods it can be extracted directly from the data. The aim of this work is to show the increased potential of the application of Principal Component Analysis (PCA) on TOF data. We propose a methodology that retains the TOF information and compare it to the non-TOF method. We tested the method on 16 FDG oncology patients, monitored with an RPM camera. To further investigate the benefit of TOF, PCA was selectively applied to sets of TOF bins equidistant from the center. The correlation with the RPM, the level of noise and the respiratory-likeness were analysed for all the obtained respiratory signals. The results of our analysis showed that retaining the TOF information into the sinograms considerably increased the quality of the extracted respiratory signals.
影响因子：
4
作者：
Kesner AL;Schleyer PJ;Büther F;Walter MA;Schäfers KP;Koo PJ
通讯作者：
Koo PJ