2D Map Displays to Support Neurosurgical Interventions

对于复杂的手术干预计划，相关解剖和病理结构的3D模型被使用。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以及与观察者相关的解释和交互工作，3D模型在手术干预期间的潜力只能以有限的方式被开发。在美国波士顿哈佛医学院放射科布里格姆和妇女医院外科规划实验室的12个月的研究期间，这个问题应该被更详细地分析用于神经外科干预。因此，应设计、开发和评估一种新的用于神经外科手术中导航支持的2D地图显示方法。在概念和原型开发期间，这种方法的潜在用户将参与到以用户为中心的开发过程中。计划与布里格姆妇女医院的神经外科医生密切合作，特别是与神经外科脑成像实验室。这涉及到需求的分析和定义，以及在临床环境中对方法的评估。在研究期间，应探索为2D地图显示提供分类、加权神经外科数据的算法。基于这些算法，将创建一个以2D地图显示的形式可视化相关神经外科数据的原型。项目结果将提供关于新的2D插图技术相对于传统可视化技术的其他优势的发现。应调查哪些可视化参数适合进行精确和安全的神经外科干预。这一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，研究结果可为术中可视化领域的后续研究奠定重要的基础。

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.