arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2303.01733cs.HCcs.RO

利用有符号距离场提升手术态势感知:虚拟现实中的初步研究

Improving Surgical Situational Awareness with Signed Distance Field: A Pilot Study in Virtual Reality

Johns Hopkins University(约翰斯·霍普金斯大学);Johns Hopkins University School of Medicine(约翰斯·霍普金斯大学医学院)

Hisashi Ishida, Juan Antonio Barragan, Adnan Munawar, Zhaoshuo Li, Andy Ding, Peter Kazanzides, Danielle Trakimas, Francis X. Creighton, Russell H. Taylor

AI总结:

本研究开发了基于有符号距离场的开源多模态手术导航框架,在虚拟现实乳突切除模拟实验中验证了其可在不增加时间和负荷的情况下提升手术安全性。

摘要:

图像引导手术导航(IGSN)的引入为技术要求较高的手术操作提供了术中实时支持与引导,极大地造福了外科手术。要开发有效的IGSN,需要精心选择手术信息以及向外科医生呈现这些信息的媒介。然而,由于可选方案繁多,这并非易事。为解决这一问题,我们开发了一个开源库,可助力各类依赖医学影像数据的手术操作开发多模态导航系统。为提供引导,我们的系统会计算手术器械与解剖结构之间的最小距离,再通过不同机制将该信息呈现给用户。我们的方法通过在初始化阶段从分割后的解剖体积计算有符号距离场(Signed Distance Field),实现了实时性能。基于该框架,我们开发了一套多模态手术导航系统,帮助外科医生在颅底手术模拟环境中应对解剖结构的变异性。我们探索了三种不同的反馈模态:视觉、听觉和触觉。为评估所提出的系统,我们开展了一项初步用户研究,让四名临床医生分别在有引导和无引导的条件下实施乳突切除术。我们采用客观绩效指标和主观工作负荷指标对每种条件进行了评估。这项初步用户研究表明,该系统在不增加手术时间或工作负荷的前提下提升了手术操作安全性。这些结果证明了我们的流程在乳突切除术场景中的成功应用。

英文摘要:

The introduction of image-guided surgical navigation (IGSN) has greatly benefited technically demanding surgical procedures by providing real-time support and guidance to the surgeon during surgery. To develop effective IGSN, a careful selection of the surgical information and the medium to present this information to the surgeon is needed. However, this is not a trivial task due to the broad array of available options. To address this problem, we have developed an open-source library that facilitates the development of multimodal navigation systems in a wide range of surgical procedures relying on medical imaging data. To provide guidance, our system calculates the minimum distance between the surgical instrument and the anatomy and then presents this information to the user through different mechanisms. The real-time performance of our approach is achieved by calculating Signed Distance Fields at initialization from segmented anatomical volumes. Using this framework, we developed a multimodal surgical navigation system to help surgeons navigate anatomical variability in a skull base surgery simulation environment. Three different feedback modalities were explored: visual, auditory, and haptic. To evaluate the proposed system, a pilot user study was conducted in which four clinicians performed mastoidectomy procedures with and without guidance. Each condition was assessed using objective performance and subjective workload metrics. This pilot user study showed improvements in procedural safety without additional time or workload. These results demonstrate our pipeline's successful use case in the context of mastoidectomy.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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