MR Guided Vascular Interventions

磁共振引导血管介入治疗

• 批准号: 6801986
• 负责人: John M. Pauly
• 金额: $ 38.04万
• 依托单位: STANFORD UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-09-19 至 2007-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6801986
• 关键词: angiography; bioengineering /biomedical engineering; bioimaging /biomedical imaging; biomedical equipment development; blood vessel occlusion; cardiovascular disorder diagnosis; clinical biomedical equipment; diagnostic catheterization; disease /disorder model; laboratory rabbit; magnetic resonance imaging; swine

DESCRIPTION (provided by applicant): Minimally-invasive catheter-based interventions have revolutionized our treatment of cardiovascular disease. X-ray techniques have been the established method for imaging coronary and vascular disease and guiding interventional therapeutic devices. X-ray, however, does not directly visualize the diseased atherosclerotic tissue, limiting more advanced vascular interventions. Magnetic resonance imaging (MRI), by comparison, provides excellent tissue contrast and can image both the vessel lumen and the vessel wall without relying on contrast agents. At Stanford we have been actively developing real-time interactive MR imaging systems for diagnostic cardiac imaging, and for the guidance of interventional procedures. In this proposal we will significantly extend this work to the visualization and control of devices for vascular interventions, and the integration of these capabilities into a multi-functional interactive real-time interface. The major focus will be to develop a fully integrated MRI system for real-time vascular interventions and to optimize its capabilities in animal models for the treatment of chronic total occlusions.

描述（由申请人提供）： 基于微创导管的干预措施彻底改变了我们对心血管疾病的治疗。 X 射线技术已成为冠状动脉和血管疾病成像以及指导介入治疗设备的既定方法。然而，X 射线不能直接观察患病的动脉粥样硬化组织，限制了更先进的血管干预措施。相比之下，磁共振成像 (MRI) 可以提供出色的组织对比度，并且可以在不依赖造影剂的情况下对血管腔和血管壁进行成像。在斯坦福大学，我们一直在积极开发实时交互式 MR 成像系统，用于诊断心脏成像并指导介入手术。在本提案中，我们将显着地将这项工作扩展到血管介入设备的可视化和控制，并将这些功能集成到多功能交互式实时界面中。主要重点是开发用于实时血管干预的完全集成的 MRI 系统，并优化其在动物模型中治疗慢性完全闭塞的能力。