基于 LSTM 的手术器械姿态估计与跟踪

IF 4.1 3区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

ICT Express Pub Date : 2024-06-01 DOI:10.1016/j.icte.2024.01.002

Siyu Lu , Jun Yang , Bo Yang , Xiaolu Li , Zhengtong Yin , Lirong Yin , Wenfeng Zheng

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引用次数: 0

摘要

手术导航系统通过提供精确制导来提高手术的安全性和准确性。然而，传统的姿势估计算法缺乏实时性能和准确性。为解决这一问题，设计了一个多平均长短期记忆（LSTM）预测网络，以保持估计手术器械位置的灵敏度，并跟踪其随机运动趋势。此外，定位标记的空间坐标被应用回成像平面，从而缩小了识别范围并提高了算法运行速度。实验结果表明，在保证预测效果的前提下，估计的平均时间小于 1 毫秒。

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Surgical instrument posture estimation and tracking based on LSTM

The surgical navigation system enhances surgical safety and accuracy by providing precise guidance. However, traditional pose estimation algorithms lack real-time performance and accuracy. To address this issue, a multi-average Long Short Term Memory (LSTM) prediction network is designed to maintain sensitivity in estimating the position of surgical instruments and track their random motion trends. Additionally, the spatial coordinates of positioning markers are applied back to the imaging plane, reducing the recognition range and improving algorithm running speed. Experimental results show that the average time of estimation is less than 1ms while ensuring the prediction effect.

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来源期刊

ICT Express Multiple-

CiteScore

10.20

自引率

1.90%

发文量

167

审稿时长

35 weeks

期刊介绍： The ICT Express journal published by the Korean Institute of Communications and Information Sciences (KICS) is an international, peer-reviewed research publication covering all aspects of information and communication technology. The journal aims to publish research that helps advance the theoretical and practical understanding of ICT convergence, platform technologies, communication networks, and device technologies. The technology advancement in information and communication technology (ICT) sector enables portable devices to be always connected while supporting high data rate, resulting in the recent popularity of smartphones that have a considerable impact in economic and social development.