Enhanced Navigation for Endoscopic Sinus Surgery Through Video Analysis

通过视频分析增强内窥镜鼻窦手术导航

基本信息

批准号：
8348414
负责人：
GREGORY Donald HAGER
金额：
$ 47.36万
依托单位：
JOHNS HOPKINS UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2012
资助国家：
美国
起止时间：
2012-07-12 至 2016-06-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8348414
关键词：
Affect Algorithms Anatomic Surface Anatomic structures Anatomy Area Cadaver Carotid Arteries Clinical Clinical Investigator Computational algorithm Data Development Effectiveness Endoscopes Endoscopy Engineering Evaluation Goals Healthcare Systems Image Imagery Imaging Device In Situ Judgment Laparoscopy Lead Location Measures Medical Methodology Methods Modeling Morbidity - disease rate Names Navigation System Nursing Faculty Operative Surgical Procedures Optic Nerve Orthopedic Surgery procedures Outcome Patients Procedures Process Radiation Resolution Retinal Cone Safety Scanning Shapes Sinus Staging Structure Surface Surgeon Surgical Error Time Translating Translational Research Translations United States Vertebral column Vision Work X-Ray Computed Tomography base clinical practice clinically relevant comparative cost craniofacial experience improved innovation intraoperative imaging millimeter neurosurgery optical imaging patient safety prototype reconstruction skills tool

Affect Algorithms Anatomic Surface Anatomic structures Anatomy Area Cadaver Carotid Arteries Clinical Clinical Investigator Computational algorithm Data Development Effectiveness Endoscopes Endoscopy Engineering Evaluation Goals Healthcare Systems Image Imagery Imaging Device In Situ Judgment Laparoscopy Lead Location Measures Medical Methodology Methods Modeling Morbidity - disease rate Names Navigation System Nursing Faculty Operative Surgical Procedures Optic Nerve Orthopedic Surgery procedures Outcome Patients Procedures Process Radiation Resolution Retinal Cone Safety Scanning Shapes Sinus Staging Structure Surface Surgeon Surgical Error Time Translating Translational Research Translations United States Vertebral column Vision Work X-Ray Computed Tomography base clinical practice clinically relevant comparative cost craniofacial experience improved innovation intraoperative imaging millimeter neurosurgery optical imaging patient safety prototype reconstruction skills tool

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项目摘要

DESCRIPTION (provided by applicant): This project will provide new registration and visualization tools for functional endoscopic sinus surgery (FESS) using widely available high-definition endoscopic video. These tools will provide higher accuracy navigation accuracy to the surgeon, and will make it possible to accurately measure change as surgery progresses. The key innovation in the project is the integration of algorithms for computational vision with traditional navigation methods to provide these enhancements. The algorithms will be evaluated retrospectively on video and navigation data acquired during FESS procedures. The project has four specific aims: Aim 1: Develop video-CT registration algorithms that are accurate to CT resolution. Aim 2: Develop methods for surface shape estimation from endoscopic images. Aim 3: Perform comparative evaluation of video-CT-based navigation on patient data. Aim 4: Assess the accuracy and reliability of intraoperative surface estimation on patient data. The significance of improved navigation is to 1) enhancement patient safety and outcomes by reducing potential complications and radiation exposure, and 2) to reduce cost by improving clinical workflow and clarity of intraoperative visualization. In the United States, it is estimate that there are more than 200,000 sinus surgery procedures performed annually. All of these are performed under endoscopic guidance, and a large fraction can or could employ surgical navigation. Thus, even moderate improvements in outcome and workflow efficiency can lead to significant benefits to both patients and the health care system. The innovation of the proposed approach is the use of the images from the endoscope itself as the basis for: 1) registration to pre-operative or intra-operative volumes, and 2) reconstruction of anatomic surfaces. Prior work has demonstrated that these problems are both solvable. The project will combine the efforts of an experienced team consisting of engineering and clinical faculty, and will focus on translation of the research to clinically relevant data. The methodology of the project will be to develop and validate algorithms extensively on cadaver models with the goal of achieving 0.5 mm accuracy for both registration and surface reconstruction. Once these goals are achieved, the algorithms will be assessed on patient data acquired during FESS procedures. Although aimed at FESS, the proposed methods are widely applicable to other areas of endoscopy and laparoscopy. PUBLIC HEALTH RELEVANCE: This project will provide new registration and visualization tools for sinus surgery using widely available high-definition endoscopic video. These tools will provide higher accuracy navigation to the surgeon, and will make it possible to accurately measure change as surgery progresses. The impact of these tools will be to enhance patient safety, reduce operative time, and reduce the need for intraoperative CT or cone beam imaging.

描述（由申请人提供）：该项目将使用广泛可用的高清内窥镜视频为功能性内窥镜鼻窦手术（FESS）提供新的注册和可视化工具。这些工具将为外科医生提供更高的准确性导航准确性，并可以随着手术的进行准确测量变化。该项目的关键创新是将计算愿景算法与传统导航方法的整合在一起，以提供这些增强功能。该算法将在FESS过程中获取的视频和导航数据中进行回顾性评估。该项目具有四个具体目标：目标1：开发视频-CT注册算法，这些算法准确地分辨率为CT。 AIM 2：从内窥镜图像开发表面形状估计的方法。 AIM 3：对基于视频CT的患者进行对比较评估。目标4：评估术中表面估计对患者数据的准确性和可靠性。改善导航的意义是1）通过减少潜在的并发症和辐射暴露来增强患者的安全性和结果，以及2）通过改善临床工作流程和术中可视化的清晰度来降低成本。在美国，据估计，每年进行20万多个鼻窦手术程序。所有这些都是在内窥镜指导下进行的，很大一部分可以或可以采用手术导航。因此，即使是适度的结果和工作流程效率的改善也会为患者和医疗保健系统带来重大好处。所提出的方法的创新是使用内窥镜本身的图像作为：1）注册术前或术中体积的注册，以及2）解剖表面的重建。先前的工作表明这些问题都是可以解决的。该项目将结合一个经验丰富的团队的努力，该团队包括工程和临床教师，并将专注于将研究转换为临床相关数据。该项目的方法将是开发和对尸体模型进行了广泛的验证算法，目的是实现0.5 mm的注册和表面重建精度。一旦实现了这些目标，将对在FESS程序中获取的患者数据进行评估算法。尽管针对FESS，但提出的方法广泛适用于内窥镜检查和腹腔镜检查的其他领域。公共卫生相关性：该项目将使用广泛可用的高清内窥镜视频为鼻窦手术提供新的注册和可视化工具。这些工具将为外科医生提供更高的准确性导航，并可以随着手术的进行准确测量变化是可能的。这些工具的影响是提高患者的安全性，减少手术时间并减少对术中CT或锥形束成像的需求。