Computer Aided Medical Procedures (CAMP), Technical University of Munich, 85748, Munich, Germany.
Nuklearmedizin rechts der Isar, Technical University of Munich, 81675, Munich, Germany.
Sci Rep. 2023 Apr 12;13(1):5930. doi: 10.1038/s41598-023-32778-z.
Despite the undeniable advantages of image-guided surgical assistance systems in terms of accuracy, such systems have not yet fully met surgeons' needs or expectations regarding usability, time efficiency, and their integration into the surgical workflow. On the other hand, perceptual studies have shown that presenting independent but causally correlated information via multimodal feedback involving different sensory modalities can improve task performance. This article investigates an alternative method for computer-assisted surgical navigation, introduces a novel four-DOF sonification methodology for navigated pedicle screw placement, and discusses advanced solutions based on multisensory feedback. The proposed method comprises a novel four-DOF sonification solution for alignment tasks in four degrees of freedom based on frequency modulation synthesis. We compared the resulting accuracy and execution time of the proposed sonification method with visual navigation, which is currently considered the state of the art. We conducted a phantom study in which 17 surgeons executed the pedicle screw placement task in the lumbar spine, guided by either the proposed sonification-based or the traditional visual navigation method. The results demonstrated that the proposed method is as accurate as the state of the art while decreasing the surgeon's need to focus on visual navigation displays instead of the natural focus on surgical tools and targeted anatomy during task execution.
尽管图像引导手术辅助系统在准确性方面具有不可否认的优势,但就可用性、时间效率及其与手术流程的集成度而言,这些系统尚未完全满足外科医生的需求或期望。另一方面,感知研究表明,通过涉及不同感觉模式的多模式反馈呈现独立但因果相关的信息,可以提高任务绩效。本文研究了一种计算机辅助手术导航的替代方法,介绍了一种新颖的四自由度声化方法,用于导航椎弓根螺钉放置,并讨论了基于多感觉反馈的先进解决方案。所提出的方法包括一种新颖的四自由度声化解决方案,用于基于调频合成的四自由度对准任务。我们将所提出的声化方法与当前被认为是最先进的视觉导航的准确性和执行时间进行了比较。我们进行了一项在腰椎中执行椎弓根螺钉放置任务的仿体研究,由基于所提出的声化的方法或传统的视觉导航方法指导。结果表明,该方法与最先进的方法一样准确,同时减少了外科医生在执行任务时需要专注于视觉导航显示器的次数,而不是自然地专注于手术工具和目标解剖结构。