A prostate seed implantation robot system based on human-computer interactions: Augmented reality and voice control.

IF 2.6 4区 工程技术 Q1 Mathematics
Xinran Zhang, Yongde Zhang, Jianzhi Yang, Haiyan Du
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引用次数: 0

Abstract

The technology of robot-assisted prostate seed implantation has developed rapidly. However, during the process, there are some problems to be solved, such as non-intuitive visualization effects and complicated robot control. To improve the intelligence and visualization of the operation process, a voice control technology of prostate seed implantation robot in augmented reality environment was proposed. Initially, the MRI image of the prostate was denoised and segmented. The three-dimensional model of prostate and its surrounding tissues was reconstructed by surface rendering technology. Combined with holographic application program, the augmented reality system of prostate seed implantation was built. An improved singular value decomposition three-dimensional registration algorithm based on iterative closest point was proposed, and the results of three-dimensional registration experiments verified that the algorithm could effectively improve the three-dimensional registration accuracy. A fusion algorithm based on spectral subtraction and BP neural network was proposed. The experimental results showed that the average delay of the fusion algorithm was 1.314 s, and the overall response time of the integrated system was 1.5 s. The fusion algorithm could effectively improve the reliability of the voice control system, and the integrated system could meet the responsiveness requirements of prostate seed implantation.

基于人机交互的前列腺种子植入机器人系统:增强现实和语音控制
机器人辅助前列腺种子植入技术发展迅速。然而,在操作过程中,也存在一些亟待解决的问题,如可视化效果不直观、机器人控制复杂等。为了提高操作过程的智能化和可视化,提出了一种增强现实环境下的前列腺种子植入机器人语音控制技术。首先,对前列腺的核磁共振图像进行去噪和分割。利用表面渲染技术重建了前列腺及其周围组织的三维模型。结合全息应用程序,建立了前列腺种子植入的增强现实系统。提出了一种基于迭代最近点的改进奇异值分解三维配准算法,三维配准实验结果验证了该算法能有效提高三维配准精度。提出了基于光谱减法和 BP 神经网络的融合算法。实验结果表明,融合算法的平均延迟为 1.314 s,集成系统的整体响应时间为 1.5 s。融合算法能有效提高语音控制系统的可靠性,集成系统能满足前列腺种子植入的响应要求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Mathematical Biosciences and Engineering
Mathematical Biosciences and Engineering 工程技术-数学跨学科应用
CiteScore
3.90
自引率
7.70%
发文量
586
审稿时长
>12 weeks
期刊介绍: Mathematical Biosciences and Engineering (MBE) is an interdisciplinary Open Access journal promoting cutting-edge research, technology transfer and knowledge translation about complex data and information processing. MBE publishes Research articles (long and original research); Communications (short and novel research); Expository papers; Technology Transfer and Knowledge Translation reports (description of new technologies and products); Announcements and Industrial Progress and News (announcements and even advertisement, including major conferences).
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