基于增强现实和超细径摄像头的胸腔闭式引流穿刺可视化系统

doi:10.1007/s12204-025-2808-6

摘要/Abstract

摘要： 胸腔闭式引流术在临床中可以利用带针胸管进行胸腔积液或积气的治疗，但目前手术中的穿刺过程是不可视的，存在手术失败的风险。因此，有必要设计一套具有可视功能的胸腔闭式引流穿刺可视化系统。增强现实（AR）技术可以辅助看到患者体内的解剖结构并确定体表插入点，我们还对目前使用的带针胸管进行了结构改进，通过嵌入超细径摄像头实现穿刺过程中的实时可视化。进行了模拟实验，测量了AR方法的总体配准误差范围在(3.59±0.53) mm，这表明其具有临床应用的潜力。超细径摄像头模组和改进的带针胸管可以及时反映针尖在人体内的位置。通过对比实验发现，与传统方法相比，视频引导可以提高穿刺过程的安全性。最后，通过问卷测试对系统的可用性进行了定性评估。本系统有助于实现胸腔闭式引流穿刺操作的可视化，为提高操作步骤的准确性和安全性提供了实施方案，此方法有利于缩短学习曲线，提高医生的熟练程度。

关键词: 胸腔闭式引流, 可视化, 增强现实, 带针胸管, 超细径摄像头

Abstract: Closed thoracic drainage can be performed using a steel-needle-guided chest tube to treat pleural effusion or pneumothorax in clinics. However, the puncture procedure during surgery is invisible, increasing the risk of surgical failure. Therefore, it is necessary to design a visualization system for closed thoracic drainage. Augmented reality (AR) technology can assist in visualizing the internal anatomical structure and determining the insertion point on the body surface. The structure of the currently used steel-needle-guided chest tube was modified by integrating it with an ultrafine diameter camera to provide real-time visualization of the puncture process. After simulation experiments, the overall registration error of the AR method was measured to be within (3.59±0.53) mm, indicating its potential for clinical application. The ultrafine diameter camera module and improved steel-needle-guided chest tube can timely reflect the position of the needle tip in the human body. A comparative experiment showed that video guidance could improve the safety of the puncture process compared to the traditional method. Finally, a qualitative evaluation of the usability of the system was conducted through a questionnaire. This system facilitates the visualization of closed thoracic drainage puncture procedure and provides an implementation scheme to enhance the accuracy and safety of the operative step, which is conducive to reducing the learning curve and improving the proficiency of the doctors.

中图分类号:

R318
TP319

. 基于增强现实和超细径摄像头的胸腔闭式引流穿刺可视化系统[J]. J Shanghai Jiaotong Univ Sci, 2025, 30(3): 417-424.

Qin Wei, Wang Shuyi, Chen Xueyu, Zhuang Yiwei, Shen Yichun, Shen Yuhán. Visualization System for Closed Thoracic Drainage Puncture Based on Augmented Reality and Ultrafine Diameter Camera[J]. J Shanghai Jiaotong Univ Sci, 2025, 30(3): 417-424.

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