Algorithms and interfaces for improved image-guided surgery

用于改进图像引导手术的算法和界面

• 批准号: 386597-2011
• 负责人: Kunz, Manuela
• 金额: $ 1.38万
• 依托单位: Queen's University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2012
• 资助国家: 加拿大
• 起止时间: 2012-01-01 至 2013-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=508005
• 关键词: Algorithms; interfaces; improved; image; guided

This research program is directed to answering the question: "How can we improve the planning and performance of Image-Guided Surgery (IGS)?" IGS provides surgeons with methods for surgical planning and guidance for intra-operative interventions. In general, the procedure is a three step process: i) Medical Image Acquisition, ii) Planning and, iii) Navigation. During image acquisition, the anatomy is scanned using medical imaging (e.g. CT, MRI). In the planning phase relevant data (e.g. bone, cartilage) are extracted from the image dataset and a 3-dimensional (3D) model of the anatomy is constructed and surgical interventions are planned. During the surgery a tracking system, such as an opto-electronic camera, is installed in the operating theater and sensors are rigidly attached to anatomies and surgical instruments. The camera reads the information from these sensors and then computer graphics and registration algorithms are used to render the tracked position of the instruments on the virtual representation of the anatomy and/or the planned instrument trajectory.

本研究项目旨在回答以下问题：“我们如何改进图像引导手术（IGS）的规划和性能？“IGS为外科医生提供了手术计划和术中干预指导的方法。一般而言，该程序是一个三步过程：i）医学图像采集，ii）计划和iii）导航。在图像采集期间，使用医学成像（例如CT、MRI）扫描解剖结构。在规划阶段，从图像数据集中提取相关数据（例如，骨、软骨），并且构造解剖结构的三维（3D）模型，并且规划手术介入。在手术期间，跟踪系统（诸如光电相机）安装在手术室中，并且传感器刚性地附接到解剖结构和手术器械。摄像机从这些传感器读取信息，然后使用计算机图形和配准算法在解剖结构的虚拟表示和/或计划的器械轨迹上呈现器械的跟踪位置。