DiMaio S P, Samset E, Fischer G, Iordachita I, Fichtinger G, Jolesz F, Tempany C M
Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Med Image Comput Comput Assist Interv. 2007;10(Pt 2):50-8. doi: 10.1007/978-3-540-75759-7_7.
This paper describes a novel image-based method for tracking robotic mechanisms and interventional devices during Magnetic Resonance Image (MRI)-guided procedures. It takes advantage of the multi-planar imaging capabilities of MRI to optimally image a set of localizing fiducials for passive motion tracking in the image coordinate frame. The imaging system is servoed to adaptively position the scan plane based on automatic detection and localization of fiducial artifacts directly from the acquired image stream. This closed-loop control system has been implemented using an open-source software framework and currently operates with GE MRI scanners. Accuracy and performance were evaluated in experiments, the results of which are presented here.
本文介绍了一种新颖的基于图像的方法,用于在磁共振成像(MRI)引导的手术过程中跟踪机器人机制和介入设备。该方法利用MRI的多平面成像能力,在图像坐标系中对一组用于被动运动跟踪的定位基准进行最佳成像。成像系统通过直接从采集的图像流中自动检测和定位基准伪影,自适应地定位扫描平面。该闭环控制系统已使用开源软件框架实现,目前可与GE MRI扫描仪配合运行。通过实验对其准确性和性能进行了评估,本文展示了实验结果。