基于CT图像力模型的层状研磨状态估计框架
Jihao Liu1, Guoyan Zheng2, Weixin Yan3
1State Key Laboratory of Ocean Engineering, School of Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.
Sensors (Basel, Switzerland)
|January 11, 2025
概括
在骨磨削手术中准确地定位切削尖端对于安全至关重要. 这项研究提出了一个新的框架,使用CT图像和削力数据来估计切削尖端的位置,提高手术精度.
科学领域:
- 手术技术 手术技术
- 生物医学工程 生物医学工程
- 医疗成像医学成像
背景情况:
- 手术工具的精确定位,特别是骨磨削过程中的切削尖端,仍然是确保手术安全的重大挑战.
- 现有的方法可能缺乏复杂的层状研磨程序所需的实时准确性.
研究的目的:
- 开发和验证一个框架,用于精确的状态估计切削尖在层状研磨.
- 将手术前的CT成像与手术期间的磨削力数据相结合,以加强外科手术指导.
主要方法:
- 开发了一个CT图像力模型框架,利用手术前的CT扫描和手术期间的削力信号.
- 建立了一个骨磨力预测模型,以将手术途径转化为预测的力序列.
- 翻转窗口算法对内部操作力信号进行细分,并计算动态时间扭曲 (DTW) 与预测序列的相似性.
- 采用随机样本共识 (RANSAC) 来减轻外部因素的影响并提高稳定性.
主要成果:
- 开发的框架成功地通过推导预测和细分的削力信号之间的相似性来估计切削尖的位置.
- 整合CT成像和力反提供了一个强大的实时工具定位方法.
- 在存在信号噪声或变异的情况下,RANSAC提高了估计的可靠性.
结论:
- 拟议的框架为骨磨削手术中精确切割尖定位提供了一个有希望的解决方案.
- 这种方法有可能在骨科和神经外科手术中显著提高手术安全性和准确性.
- 开源代码有助于进一步研究和开发以图像为指导的手术干预.
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