Computer-assisted planning of nonlinear access paths for MUKNO

MUKNO 非线性访问路径的计算机辅助规划

• 批准号: 179880994
• 负责人: Professor Dr.-Ing. Dieter W. Fellner
• 金额: --
• 依托单位: Fachgebiet Graphisch-Interaktive Systeme
• 依托单位国家: 德国
• 项目类别: Research Units
• 财政年份: 2010
• 资助国家: 德国
• 起止时间: 2009-12-31 至 2019-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/179880994?language=en
• 关键词: Computer; assisted; planning; nonlinear; access

In the initial phase of the project we developed methods to plan straight access paths for multi-port bone surgery. These methods are now extended to nonlinear paths. This should allow for drilling canals with larger diameters while still maintaining the necessary safety distance to the risk structures. Here, it is important to constantly update the planning for the navigation. The image acquisition and segmentation of the risk structures are crucial requirements for an accurate planning. Therefore, we further improve upon the reconstruction for the C-arm. Additionally, the segmentation of the risk structures is extended to C-arm data and completed by an automatic detection of the risk structures in both modalities. Therewith we enable an accurate planning of nonlinear access paths for multi-port bone surgery.

在项目的初始阶段，我们开发了为多端口骨手术规划直通路的方法。这些方法现在扩展到非线性路径。这应该允许钻探更大直径的水渠，同时仍然保持与风险结构的必要安全距离。在这里，不断更新导航计划是很重要的。风险结构的图像获取和分割是准确规划的关键。因此，我们进一步改进了c臂的重建。此外，将风险结构的分割扩展到c臂数据，并通过两种模式的风险结构自动检测来完成。因此，我们可以精确地规划多端口骨手术的非线性通路。