2D Map Displays to Support Neurosurgical Interventions

对于复杂手术干预的规划，使用相关解剖和病理结构的3D模型。首先，这些模型是为术前手术计划而开发的。由于通常非常高的几何复杂性和相关的解释和交互工作的观众，三维模型的潜力，在外科手术干预只能在有限的方式开发。在为期12个月的研究停留在外科规划实验室，放射科，布莱根妇女医院，哈佛医学院，波士顿，美国，对于神经外科介入，将更详细地分析该问题。因此，应设计、开发和评价神经外科干预期间用于导航支持的2D标测图显示新方法。在概念和原型开发过程中，这种方法的潜在用户将参与以用户为中心的开发过程。打算与布里格姆妇女医院的神经外科医生，特别是神经外科脑绘图实验室密切合作。这涉及需求的分析和定义，以及在临床环境中对方法的评价。在研究停留期间，应探索为2D标测图显示提供分类、加权神经外科数据的算法。基于这些算法，将创建一个以2D地图显示形式显示相关神经外科数据的原型。项目结果将提供新的2D图示技术相对于传统可视化技术的额外优势。应研究哪些可视化参数足以进行精确和安全的神经外科干预。这些发现可用于改善神经外科干预的视觉导航支持，并降低未来医疗干预的风险。此外，该结果可以为后续术中可视化领域的研究奠定重要基础。

For the planning of complex surgical interventions, 3D models of relevant anatomical and pathological structures are used. Primarily, these models were developed for preoperative surgery planning. Due to the often very high geometric complexity and the associated interpretation and interaction effort for the viewer, the potential of 3D models during surgical interventions can only be exploited in a limited way.During a 12-month research stay at the Surgical Planning Laboratory, Department of Radiology, Brigham and Womens Hospital, Harvard Medical School, Boston, USA, this problem shall be analyzed in more detail for neurosurgical interventions. Therefore, a new method for 2D map display for navigational support during neurosurgical interventions shall be designed, developed, and evaluated. During the concept and prototype development, potential users of this method will be involved in a user-centered development process. A close cooperation is intended with the neurosurgeons at Brigham and Womens Hospital, especially with the Neurosurgical Brain Mapping Laboratory. This concerns the analysis and definition of requirements, and the evaluation of the methods in a clinical surrounding. During the research stay, algorithms that provide classified, weighted neurosurgical data for a 2D map display shall be explored. Based on these algorithms, a prototype for the visualization of relevant neurosurgical data in the form of a 2D map display shall be created.The project results shall deliver findings about additional advantages of the new 2D illustration techniques over conventional visualization techniques. It shall be investigated which visualization parameters are adequate for precise and secure neurosurgical interventions. The findings can be used to improve visual navigation support for neurosurgical interventions and to reduce the risk of medical interventions in the future. Furthermore, the results could build an important basis for subsequent studies in the field of intraoperative visualization.