Respiratory Gated PET Derived in a Fully Automated Manner From Raw PET Data
Respiratory Gated PET Derived in a Fully Automated Manner From Raw PET Data
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DOI：
10.1109/tns.2009.2016341
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发表时间：
2009-06-01
影响因子：
1.8
通讯作者：
Silverman, Daniel Hillel
中科院分区：
文献类型：
--
作者：
Kesner, Adam Leon;Bundschuh, Ralph Alexander;Silverman, Daniel Hillel
PET 中的呼吸运动会降低图像质量并限制小或低对比度病变的检测能力。尽管使用呼吸门控可以提高图像质量，但这增加了采集 PET 数据的复杂性和费用。我们的目标是开发一种基于个体体素信号波动的数据驱动方法，用于完成临床 PET 数据的电子呼吸门控，无需额外的硬件或最终用户输入。我们使用模拟 PET 扫描和实际人体 PET 采集来测试我们的方法。对于模拟，我们的方法正确识别了为体模定义的每个呼吸周期的起始帧。由此产生的门控图像证明了有效分辨率的提高以及对位于胸部病变的测量摄取的增加。对于人类 PET 数据，我们能够以高信噪比恢复呼吸相位信息。我们在这里报告了一种实现 PET 图像完全自动化的基于体素的呼吸门控的方法，无需门控硬件或额外的用户输入，能够提高有效分辨率并增加病变可检测性。
Respiratory motion in PET degrades image quality and limits detectability of small or low-contrast lesions. Although image quality can be improved using respiratory-gating, this adds to the complexity and expense of acquiring PET data. We aimed to develop a data-driven method, based on individual voxel signal fluctuations, for accomplishing electronic respiratory gating of clinical PET data, requiring no additional hardware or end-user input. We tested our methods using both simulated PET scans and actual human PET acquisitions. For the simulations, our methods correctly identified the start frame of each respiratory cycle defined for the phantom. Resultant gated images demonstrated improved effective resolution and increased measured uptake for lesions located in the thorax. For human PET data, we were able to recover respiratory phase information with a high signal-to-noise ratio. We report here a method to achieve fully automated voxel-based respiratory gating of PET images, without the need for gating hardware or additional user input, capable of improving effective resolution and increasing lesion detectability.