Thayer School of Engineering, Dartmouth College, Hanover, NH 03755, USA.
Electrical Engineering Department, Uppsala University, 751 05 Uppsala, Sweden.
Sensors (Basel). 2023 May 17;23(10):4819. doi: 10.3390/s23104819.
We are developing a transmission-based probe for point-of-care assessment of vertebrae strength needed for fabricating the instrumentation used in supporting the spinal column during spinal fusion surgery. The device is based on a transmission probe whereby thin coaxial probes are inserted into the small canals through the pedicles and into the vertebrae, and a broad band signal is transmitted from one probe to the other across the bone tissue. Simultaneously, a machine vision scheme has been developed to measure the separation distance between the probe tips while they are inserted into the vertebrae. The latter technique includes a small camera mounted to the handle of one probe and associated fiducials printed on the other. Machine vision techniques make it possible to track the location of the fiducial-based probe tip and compare it to the fixed coordinate location of the camera-based probe tip. The combination of the two methods allows for straightforward calculation of tissue characteristics by exploiting the antenna far field approximation. Validation tests of the two concepts are presented as a precursor to clinical prototype development.
我们正在开发一种基于传输的探头,用于即时评估脊柱融合手术中用于支撑脊柱的器械所需的脊柱强度。该设备基于传输探头,通过将细的同轴探头插入小的椎弓根管和椎骨中,并在骨组织中从一个探头向另一个探头传输宽带信号。同时,已经开发出一种机器视觉方案来测量探头尖端插入椎骨时的分离距离。后者的技术包括安装在一个探头手柄上的小相机和另一个探头上打印的相关基准点。机器视觉技术使得能够跟踪基于基准点的探头尖端的位置,并将其与基于相机的探头尖端的固定坐标位置进行比较。这两种方法的结合允许通过利用天线远场近似值来直接计算组织特性。作为临床原型开发的前奏,本文提出了这两种概念的验证测试。