Ultrasonic Registration of Knee Anatomy to MRI Images

膝关节解剖结构与 MRI 图像的超声配准

• 批准号: 6550304
• 负责人: BRANISLAV JARAMAZ
• 金额: $ 10万
• 依托单位: CASURGICA, INC.
• 依托单位国家: 美国
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-09-01 至 2003-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6550304
• 关键词: artificial intelligence; bioimaging /biomedical imaging; bone imaging /visualization /scanning; computed axial tomography; computer program /software; knee; magnetic resonance imaging; orthopedics; surgery material /equipment

DESCRIPTION (provided by applicant): The proposed research will investigate the feasibility of using intra-operative ultrasound (US) images to noninvasively register the bone surfaces of the knee to preoperative magnetic resonance (MR) images. A surgical navigation system, KneeNav, is being developed by CASurgica for intraoperatively planning the proper location of ligament attachment sites and drill tunnel locations and then guiding the surgeon to execute the plan. Despite agreement on the correct points of insertion, great variability exists in tunnel placement among surgeons and the rate of misplaced tunnels in ACL reconstruction surgery has been reported to be between 10-40 percent. Malpositioning of the bone tunnels is the main reason for revision surgery. The proposed research would increase the accuracy of the procedure versus current videoscopic techniques or versus competitive image guidance systems. The research plan is to establish a "gold standard" for registration accuracy using reconstructed CT scans, point-based surface matching algorithms, and optical tracking. Reconstructed MR models will be substituted for CT models and the accuracy reassessed. The US probe will then be calibrated and US surface collection will then be substituted for point based collection and the accuracy reassessed. Finally, registration of US directly to MR without reconstruction will be assessed. PROPOSED COMMERCIAL APPLICATION: Not Available.

描述（由申请人提供）：拟议的研究将研究使用术中超声（US）图像无创的可行性，以无创地记录膝盖的骨表面以术前磁共振（MR）图像。 Casurgica正在开发一种手术导航系统Kneenav，用于术中计划韧带附着位点和钻孔位置的适当位置，然后引导外科医生执行该计划。尽管同意正确的插入点，但据报道，外科医生之间的隧道放置位置存在很大的可变性，据报道，ACL重建手术中错位的隧道率在10-40％之间。骨隧道的不良位置是修改手术的主要原因。拟议的研究将提高程序与当前视频镜技术的准确性或与竞争性图像指导系统相比。该研究计划是使用重建的CT扫描，基于点的表面匹配算法和光学跟踪来建立“金标准”，以使用重建的CT扫描来注册精度。重建的MR模型将被替换为CT模型并重新评估准确性。然后，将校准美国的探测器，然后将美国的表面收集代替基于点的收集并重新评估准确性。最后，将评估我们直接将我们注册给MR没有重建的MR。 拟议的商业应用：不可用。