Department of Radiology, Stanford University, Stanford, California, USA.
Philips Healthcare, Gainesville, Florida, USA.
Magn Reson Med. 2018 Apr;79(4):1911-1921. doi: 10.1002/mrm.26838. Epub 2017 Jul 19.
Optical prospective motion correction substantially reduces sensitivity to motion in neuroimaging of human subjects. However, a major barrier to clinical deployment has been the time-consuming cross-calibration between the camera and MRI scanner reference frames. This work addresses this challenge.
A single camera was mounted onto the head coil for tracking head motion. Two new methods were developed: (1) a rapid calibration method for camera-to-scanner cross-calibration using a custom-made tool incorporating wireless active markers, and (2) a calibration adjustment method to compensate for table motion between scans. Both methods were tested at 1.5T and 3T in vivo. Simulations were performed to determine the required mechanical tolerance for repositioning of the camera.
The rapid calibration method is completed in a short (<30 s) scan, which is carried out only once per installation. The calibration adjustment method requires no extra scan time and runs automatically whenever the system is used. The mechanical tolerance analysis indicates that most motion (90% reduction in voxel displacement) could be corrected even with far larger camera repositioning errors than are observed in practice.
The methods presented here allow calibration of sufficient quality to be carried out and maintained with no additional technologist workload. Magn Reson Med 79:1911-1921, 2018. © 2017 International Society for Magnetic Resonance in Medicine.
在人体神经影像学中,光学前瞻性运动校正可显著降低对运动的敏感性。然而,将其临床应用的主要障碍一直是相机和 MRI 扫描仪参考框架之间耗时的交叉校准。这项工作解决了这一挑战。
将单个摄像头安装到头线圈上以跟踪头部运动。开发了两种新方法:(1)使用带有无线主动标记的定制工具进行相机到扫描仪交叉校准的快速校准方法,以及(2)用于补偿扫描之间工作台运动的校准调整方法。这两种方法都在 1.5T 和 3T 体内进行了测试。进行了模拟以确定重新定位相机所需的机械公差。
快速校准方法在短时间(<30 秒)内完成,每次安装仅进行一次。校准调整方法不需要额外的扫描时间,并且在系统使用时自动运行。机械公差分析表明,即使相机重新定位误差远大于实际观察到的误差,也可以纠正大部分运动(体素位移减少 90%)。
这里提出的方法允许进行足够质量的校准,并且无需额外的技术人员工作量即可进行维护。磁共振医学 79:1911-1921, 2018。© 2017 国际磁共振学会。