Image Registration for Ultrasound-Based Neurosurgical Navigation

描述（由申请人提供）：神经外科导航系统降低了手术并发症的风险，并允许外科医生切除曾经被认为不可手术的肿瘤。然而，当发生组织变形时，神经外科导航系统用于对准术前和术中图像的许多技术是不准确的。肿瘤切除术、重力作用和高渗药物的使用通常会导致畸形。可变形术中图像配准仍然是神经外科引导的重大挑战。我们提出了两种新的方法注册术前MRI与术中三维超声数据，在开颅手术切除脑肿瘤。这些方法将作为可扩展的“NeuralNav”工具包的一部分提供，该工具包提供了一个通用的API，用于从商业（BrainLAB的VectorVision）和研究（乔治敦大学的图像引导手术工具包，IGSTK）手术引导系统中获取跟踪器数据和术中图像。将与顶级神经外科医生、IGSTK开发人员和BrainLAB合作开发和验证方法和工作。公共卫生相关性：该项目旨在构建神经外科导航的配准算法，并将其以开源工具包的形式提供给研究和商业社区。这些能力可能最终导致肿瘤切除术的结果改善。

DESCRIPTION (provided by applicant): Neurosurgical navigation systems have reduced the risk of complications from surgery and have allowed surgeons to remove tumors that were once considered inoperable. However, many techniques used by neurosurgical navigation systems to align pre- and intra-operative images are inaccurate when tissue deformations occur. Deformations commonly arise from tumor resection, gravitational effects on the organ, and the use of hyperosmotic drugs. Deformable intra-operative image registration remains a significant challenge for neurosurgical guidance. We proposed two new methods for registering pre-operative MRI with intra-operative 3D ultrasound data, during craniotomies for brain tumor resection. These methods will be delivered as part of an extensible "'NeuralNav"' toolkit that provides a common API for fetching tracker data and intra-operative images from commercial (VectorVision by BrainLAB) and research (Image-Guided Surgical Toolkit, IGSTK by Georgetown Univ) surgical guidance systems. Development and validation of methods and efforts will be conducted in collaboration with top neurosurgeons, the developers of IGSTK, and BrainLAB. PUBLIC HEALTH RELEVANCE: This project aims to construct registration algorithms for neurosurgical navigation and deliver them to the re- search and commercial community in an open source toolkit. These capabilities may eventually lead to improved outcomes in tumor resection.