An Integrated CT-based Image-Guided Neurosurgical System

一种基于CT的综合影像引导神经外科系统 在这项SBIR IIb阶段提案中，Xoran打算将一款紧凑且经济实惠、但高度 功能强大，系统提供实时图像更新和导航指导，支持最低限度 侵入性颅脑和脊椎神经外科手术。这一努力建立在之前开发的紧凑型基础上 以及便携式平板计算机断层扫描(CT)技术，该技术已经商业化 组织应用，并结合在该项目的早期阶段所做的工作，以产生可行的高- 脑部软组织结构的高质量图像。 术中获得的图像紧密集成到机载手术导航中将提供 使用下一代电磁刀尖引导更新仪器定位。工作流程 当成像和制导是一个设备时，优化成为可能，包括快速局部 图像更新、自动图像到世界配准，以及使用的速度和简单性。这个 该项目包括扩展系统能力，以促进精确的微创手术 切除头部和脊椎的肿瘤。它结合了基于机器学习的深度神经网络 用于图像定稿的网络方法，以允许高质量、低辐射的图像更新。 这个为期三年的项目涉及达到系统开发的技术里程碑，包括成像 能力、注册、导航精度、速度、工作流程、辐射剂量考虑和成本。 临床评估将在密歇根大学进行，一个咨询医生团队已经 为进行监督、提供意见和反馈，已进行了汇总。

An Integrated CT-based Image-Guided Neurosurgical System In this SBIR Phase IIb proposal Xoran intends to commercialize a compact and affordable, yet highly- functional, system to provide real time image updates and navigation guidance in support of minimally invasive cranial and spinal neurosurgical procedures. The effort builds on previously developed compact and portable flat-panel Computed Tomography (CT) technology which has been commercialized for hard tissue applications, and incorporates work done in earlier phases of this project to generate viable high- quality images of the soft tissue structures in the brain. Intraoperatively obtained images tightly integrated into an onboard surgical navigation will provide updated instrument localization using next generation electromagnetic tool tip guidance. Workflow optimizations become possible when the imaging and guidance are one device, including fast local image updates, automatic image-to-world registration, as well as speed and simplicity of use. The project includes expansion of the system capabilities to facilitate precise minimally-invasive surgical removal of tumors in both the head and spine. It incorporates a machine-learning based deep neural network method for image finalization to allow high quality, low radiation image updates. The three-year project involves meeting technical milestones of system development including imaging capability, registration, navigation accuracy, speed, workflow, radiation dose considerations and cost. Clinical evaluations will take place at University of Michigan, and a team of consulting physicians has been assembled for oversight, input and feedback.