Faraj Moneer K, Sabah Abdullah Siham, Hade Saeed Hussein, Al-Zuky Ali, Ismail Mustafa
Department of Surgery, College of Medicine, University of Baghdad, Baghdad, IRQ.
Department of Physiology and Medical Physics, College of Medicine, Al-Nahrain University, Baghdad, IRQ.
Cureus. 2024 Nov 14;16(11):e73697. doi: 10.7759/cureus.73697. eCollection 2024 Nov.
Long surgical instruments, particularly in brain endoscopy, often compromise precision and control due to the physical distance between the surgeon's hand and the instrument's tip, increasing the likelihood of tremors. Various technological solutions, including robotics, have been proposed to address this issue. This report outlines the development of a pseudo-perception system aimed at improving control over long instruments in neurosurgical procedures by manipulating visual feedback to enhance the surgeon's sense of proximity to the instrument's tip. The pseudo-perception system uses real-time image manipulation via MATLAB software to fuse images of the surgeon's hand and the instrument's tip. This is achieved by recording the surgeon's hand movements and superimposing them onto the endoscopic view. The system is designed to visually trick the surgeon's brain into perceiving the hand as being closer to the surgical field, thereby improving precision without requiring expensive robotic systems. The system was developed and tested in a simulated environment with standard neurosurgical instruments. Initial observations suggest that the pseudo-perception method improves manual precision and reduces tremors. However, this system is still in the prototype stage and requires further technical refinement and testing in real-world settings. This report provides a technical overview of the pseudo-perception system, offering a potential low-cost solution for improving control with long instruments in neurosurgery. Future developments will focus on enhancing the system's accuracy and usability in clinical practice.
长手术器械,尤其是在脑内窥镜手术中,由于外科医生的手与器械尖端之间的实际距离,常常会影响精度和控制,增加震颤的可能性。已经提出了包括机器人技术在内的各种技术解决方案来解决这个问题。本报告概述了一种伪感知系统的开发,该系统旨在通过操纵视觉反馈来增强外科医生对神经外科手术中长器械的接近感,从而改善对长器械的控制。伪感知系统通过MATLAB软件使用实时图像处理,将外科医生的手和器械尖端的图像融合在一起。这是通过记录外科医生的手部动作并将其叠加到内窥镜视图上来实现的。该系统旨在从视觉上欺骗外科医生的大脑,使其感觉手更靠近手术区域,从而在无需昂贵机器人系统的情况下提高精度。该系统是使用标准神经外科器械在模拟环境中开发和测试的。初步观察表明,伪感知方法提高了手动精度并减少了震颤。然而,该系统仍处于原型阶段,需要在实际环境中进行进一步的技术改进和测试。本报告提供了伪感知系统的技术概述,为提高神经外科手术中长器械的控制提供了一种潜在的低成本解决方案。未来的发展将集中在提高该系统在临床实践中的准确性和可用性上。