Intraoperative state recognition of a bone-drilling system with image-force fusion

Haiyang Jin, Ying Hu, Huoling Luo, Tianyi Zheng, Peng Zhang
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引用次数: 6

Abstract

In pedicle screw insertion surgeries, the drilling process of the screw path is very critical to decide the success of the surgery, as the hole is drilled on a very narrow area on the vertebral pedicle. In current manual surgeries, surgeons perform operation with monitoring the medical images in navigation system and sensing operation force. To simulate these abilities, in this paper, a bone-drilling state recognition algorithm and the related system based on image-force fusion are proposed. The short-time average magnitude of thrust force, the average energy of thrust force and their gradients are used to recognize drilling state and judge whether the drilling position is appropriate. For medical image information, the preoperatively scanned medical images are combined with the real-time position information of the operation tool. And the boundary of test bone, which is used to limit the drilling motion, is found depending on the drilling direction. Fusing recognition results based on thrust force and medical images, the final recognized results are modified to be more accurate and safer to control the drilling process.
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图像-力融合骨钻孔系统术中状态识别
在椎弓根螺钉置入手术中,螺钉路径的钻孔过程是决定手术成功的关键,因为钻孔是在椎弓根非常狭窄的区域上进行的。在目前的人工手术中,外科医生通过监测导航系统中的医学图像和感知手术力来进行手术。为了模拟这些能力,本文提出了一种基于图像-力融合的骨钻状态识别算法和相关系统。利用推力短时平均大小、推力平均能量及其梯度来识别钻孔状态,判断钻孔位置是否合适。对于医学图像信息,将术前扫描的医学图像与手术工具的实时位置信息相结合。根据钻孔方向确定了用于限制钻孔运动的试验骨边界。将基于推力和医学图像的识别结果进行融合,对最终识别结果进行修正,使识别结果更加准确和安全,从而实现对钻孔过程的控制。
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