由操纵器驱动选择半主动磁共振可见标记物。
Manipulator-driven selection of semi-active MR-visible markers.
作者信息
An Junmo, Webb Andrew G, Shah Dipan J, Chin Karen, Tsekos Nikolaos V
机构信息
Medical Robotics Laboratory, University of Houston, Houston, TX, USA.
C.J. Gorter Center for High Field MRI, Leiden University Medical Center, Leiden, Netherlands.
出版信息
Int J Med Robot. 2018 Feb;14(1). doi: 10.1002/rcs.1846. Epub 2017 Jun 29.
BACKGROUND
A method for the identification of semi-active fiducial magnetic resonance (MR) markers is presented based on selectively optically tuning and detuning them.
METHODS
Four inductively coupled solenoid coils with photoresistors were connected to light sources. A microcontroller timed the optical tuning/detuning of coils and image collection. The markers were tested on an MR manipulator linking the microcontroller to the manipulator control to visibly select the marker subset according to the actuated joint.
RESULTS
In closed-loop control, the average and maximum were 0.76° ± 0.41° and 1.18° errors for a rotational joint, and 0.87 mm ± 0.26 mm and 1.13 mm for the prismatic joint.
CONCLUSIONS
This technique is suitable for MR-compatible actuated devices that use semi-active MR-compatible markers.
背景
提出了一种基于对其进行选择性光学调谐和解调来识别半主动基准磁共振（MR）标记物的方法。
方法
四个带有光敏电阻的电感耦合螺线管线圈连接到光源。一个微控制器对线圈的光学调谐/解调以及图像采集进行计时。在将微控制器与操纵器控制相连接的MR操纵器上对标记物进行测试，以便根据被驱动关节直观地选择标记物子集。
结果
在闭环控制中，旋转关节的平均误差和最大误差分别为0.76°±0.41°和1.18°，棱柱形关节的平均误差和最大误差分别为0.87 mm±0.26 mm和1.13 mm。
结论
该技术适用于使用半主动MR兼容标记物的MR兼容驱动设备。
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