architecture

用于运动补偿临床成像的无标记运动追踪

运动补偿脑成像技术能够显著减少由头部运动引起的图像伪影和质量退化。然而,该技术在进入常规临床应用方面进展缓慢,目前仍主要作为一种研究工具存在。造成这一现象的一个可能原因,是临床环境中尚缺乏一种切实可行的运动追踪方法。本文展示了一项高度便捷的“无标记”运动追踪方法的初步验证结果;该方法此前专为大鼠的运动补偿PET成像而开发,在此次研究中被用于在模拟成像场景下对人类头部运动进行估算。在一项为期2分钟的实验中,16名处于仰卧姿势的志愿者跟随由机械臂控制的激光束所投射的路径进行头部运动;在此过程中,研究人员分别利用上述无标记系统(从前方视角)和一套基于标记的系统(从后方视角),以30 Hz的采样频率同步追踪了志愿者的头部运动。研究人员在统一的坐标系下对两种系统得出的运动估算结果进行了比对,结果显示两者之间总体呈现出极佳的一致性,尤其是在成像序列的早期帧中(均方根误差 [RMSE] 仅为1-3毫米)。少数较大的估算差异主要归因于系统意外捕捉到了非刚性特征,而在未来的研究中,这一问题有望通过技术改进加以避免。这些研究成果标志着将该无标记运动追踪系统推向临床应用迈出了充满希望的第一步。


Markerless motion tracking for motion-compensated clinical imaging


Abstract:

Motion-compensated brain imaging can dramatically reduce image artifacts and degradation associated with head motion. However, it has been slow to enter routine clinical use, and remained largely a research tool. One possible reason for this is the lack of a practical motion tracking method for the clinical setting. Here we present the initial validation of a highly convenient markerless motion tracking method, previously developed for motion-compensated PET imaging of rats, for human head motion estimation in a mock imaging scenario. Sixteen reclining volunteers followed the projected path of a robotically controlled laser beam during a 2 min experiment in which their resulting head motion was simultaneously tracked at 30 Hz from the anterior and posterior using the markerless system and a marker-based system, respectively. Motion estimates were compared in a common coordinate system and generally showed excellent agreement, especially in early frames (RMSE of 1-3 mm). Larger discrepancies were associated with the unwanted detection of non-rigid features which could be prevented in future studies. These results are a promising first step in translating the markerless tracking system to clinical use.