无标记头部运动跟踪和事件对事件的纠正在大脑PET中
Tianyi Zeng1, Yihuan Lu1,2, Weize Jiang2
1Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, United States of America.
Physics in medicine and biology
|November 20, 2023
概括
一个新的无标记头部运动跟踪系统 (UMT) 的准确性与现有的基于硬件的脑PET扫描系统相提并论. 这个验证证明UMT证明了UMT.
科学领域:
- 医疗成像医学成像
- 神经科学是一个神经科学.
- 生物医学工程 生物医学工程
背景情况:
- 头部运动校正 (MC) 对于精确的脑PET成像至关重要.
- 目前的基于硬件的运动跟踪 (HMT) 需要头部安装的标记器,限制了临床翻译.
- 无标记HMT (MLMT) 为临床应用提供了一个更方便的替代方案.
研究的目的:
- 为了验证联合成像医疗保健运动跟踪 (UMT) MLMT系统对PET头部MC的验证.
- 将UMT性能与已建立的Polaris Vicra HMT系统进行比较.
- 引入和评估一个新的指标,注册质量 (RQ),用于评估运动校正.
主要方法:
- UMT使用带有红外结构光的立体视觉摄像头进行实时3D面部表面捕捉.
- 点云在30 Hz时被获取并使用刚体代式最接近点算法进行注册.
- 验证涉及幻影和人类点源研究,以及与18F-FPEB和11C-LSN3172176.6的人类PET研究.
主要成果:
- 在幻影研究中,UMT显示出优异的重建 (0.35 ± 0.27毫米空间分辨率,0.12 ± 0.10毫米残余位移).
- 人类研究表明,UMT实现了与Vicra相比较的空间分辨率,噪声较低.
- 在人类PET研究中,UMT产生了可比的兴趣区域值和可以忽略的SUV差异.
结论:
- UMT MLMT系统为大脑PET成像提供有效和准确的头部运动校正.
- UMT的性能可与已建立的Vicra HMT系统相提并论,提供了更为用户友好的解决方案.
- 拟议的RQ指标有效评估运动校正质量,与现有方法相关联.
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