Olesen Oline Vinter, Paulsen Rasmus R, Højgaar Liselotte, Roed Bjarne, Larsen Rasmus
Informatics and Mathematical Modelling, Technical University of Denmark Richard Petersens Plads, Building 321, DK-2800 Kgs. Lyngby, Denmark.
Med Image Comput Comput Assist Interv. 2010;13(Pt 3):253-60. doi: 10.1007/978-3-642-15711-0_32.
We present a novel tracking system for patient head motion inside 3D medical scanners. Currently, the system is targeted at the Siemens High Resolution Research Tomograph (HRRT) PET scanner. Partial face surfaces are reconstructed using a miniaturized structured light system. The reconstructed 3D point clouds are matched to a reference surface using a robust iterative closest point algorithm. A main challenge is the narrow geometry requiring a compact structured light system and an oblique angle of observation. The system is validated using a mannequin head mounted on a rotary stage. We compare the system to a standard optical motion tracker based on a rigid tracking tool. Our system achieves an angular RMSE of 0.11 degrees demonstrating its relevance for motion compensated 3D scan image reconstructions as well as its competitiveness against the standard optical system with an RMSE of 0.08 degrees. Finally, we demonstrate qualitative result on real face motion estimation.
我们提出了一种用于三维医学扫描仪内患者头部运动的新型跟踪系统。目前，该系统针对西门子高分辨率研究断层扫描仪（HRRT）PET扫描仪。使用小型化结构光系统重建部分面部表面。使用鲁棒的迭代最近点算法将重建的三维点云与参考表面进行匹配。一个主要挑战是狭窄的几何结构，这需要紧凑的结构光系统和倾斜的观察角度。使用安装在旋转台上的人体模型头部对该系统进行了验证。我们将该系统与基于刚性跟踪工具的标准光学运动跟踪器进行了比较。我们的系统实现了0.11度的角均方根误差（RMSE），证明了其在运动补偿三维扫描图像重建中的相关性，以及与RMSE为0.08度的标准光学系统相比的竞争力。最后，我们展示了真实面部运动估计的定性结果。
