Real-time cardiovascular MRI and co-registration technical development

实时心血管MRI及联合配准技术开发

• 批准号: 8557994
• 负责人: Robert J Lederman
• 金额: $ 80.76万
• 依托单位: NATIONAL HEART, LUNG, AND BLOOD INSTITUTE
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/8557994
• 关键词: Adult; Algorithms; Anatomy; Cardiac; Cardiovascular system; Catheterization; Catheters; Child; Clinical; Collaborations; Computer software; Contractor; Data; Data Set; Defibrillators; Deposition; Development; Devices; Diagnostic radiologic examination; Engineering; Environment; Equilibrium; Heating; Human; Image; Image Enhancement; Imagery; Industry; Industry Collaborators; Institution; Life; MRI Scans; Magnetic Resonance Imaging; Magnetism; Measures; Modeling; Monitor; Motion; National Heart, Lung, and Blood Institute; Noise; Pacemakers; Patients; Physiologic pulse; Physiological; Polishes; Procedures; Process; RF coil; Research Personnel; Resolution; Roentgen Rays; Safety; Small Business Innovation Research Grant; Stream; Surface; System; Techniques; Telemetry; Testing; Time; Translating; Translations; United States National Institutes of Health; Universities; Update; Wireless Technology; Work; base; bioimaging; clinically relevant; computing resources; heart motion; hemodynamics; image reconstruction; imaging modality; implantable device; novel; novel strategies; open source; parallel computing; prototype; reconstruction; research study; respiratory

During the past year we have continued enhancement of imaging platforms to guide cardiovascular catheter based treatments. These have included co-registered MRI with conventional X-ray, as well as standalone real-time MRI. Static 3D roadmaps derived from MRI datasets are used to enhance image guidance for X-ray cardiovascular interventional procedures, and indeed have been used in this lab to develop novel treatments such as mitral cerclage annuloplasty. Static roadmaps do not accurately represent cardiovascular anatomy during cardiac and respiratory motion. We have developed a system to measure respiratory and cardiac motion from real-time MRI scans and to derive a set of affine models which can be used to beat and breath the 3D roadmaps overlaid on live X-ray. We also have developed robust fully automatic mathematical techniques to register fiducial markers between imaging modalities. We have worked with an industry collaborator to translate our locally developed environment into a clinical industrial prototype for testing in adults and children. We continue to enhance a system for safe patient hemodynamic monitoring and recording during interventional MRI experiments and during transfer between X-ray and MRI. We have developed a system capable of adaptive noise cancellation to filter out RF and magnetic gradient interference. We continue work towards a wireless physiological telemetry system. We will begin work with an SBIR contractor collaborator to translate this work into a clinical industrial prototype for testing in adults and children. Our collaborator Michael S. Hansen has used inexpensive parallel computing resources afforded by game-oriented graphics processing units to accelerate reconstruction of computationally-intensive MRI data. We have successfully integrated non-Cartesian parallel imaging in an interactive acquisition and reconstruction setup and demonstrated that real-time reconstruction and visualization is possible for relatively complicated reconstruction algorithms. This has been integrated with the scanner software to allow seamless combination with other sequence components. This has been disseminated as an open-source image-streaming framework that has become very popular with extensive applications in biomedical imaging. We have developed a system to provide the operator multiple simultaneous representations of real-time MRI data balancing temporal and spatial resolution interactively. The operator chooses the desired representation. We have implemented golden-angle real-time MRI with interactive selection of the temporal resolution. We are migrating our highly successful local real-time MRI software environment onto a commercial platform to facilitate translation outside of NIH, and to enhance industry and university collaboration. This has required considerable development to update workhorse real-time MRI pulse sequences to facilitate rapid multi-author or multi-institution prototyping. This development has allowed investigational human MRI catheterization to be performed with the staff support of a technologist rather than a physicist, reflecting a polished and clinically-relevant system. We also continue to enhance the real-time MRI imaging host and image reconstruction environment, for example to balance temporal and spatial resolution interactively, and to enhance operator workflow during real-time MRI clinical catheterization. We continue work with an industry collaborator to translate our locally developed capabilities into a clinical industrial prototype for testing in adults and children. We have worked with NHLBI collaborators to explore surface coil RF excitation strategies to reduce energy deposition on conductive catheter devices. We have been able to reduce energy deposition by approximately half without significant degradation in image quality, but seek further reduction in heating. We have begun work on real-time MR imaging pulse sequences with reduced energy deposition to enhance the safety of interventional MRI using conductive catheter devices, to avoid heating. This has additional utility in safe MRI in patients with implanted devices such as pacemakers and defibrillators. We also continue to develop new approaches to real-time MRI, or to engineer local noncommercial embodiments of real-time MRI to suit the needs of procedures being developed.

在过去的一年中，我们不断增强成像平台来指导基于心血管导管的治疗。 其中包括与传统 X 射线联合配准的 MRI，以及独立的实时 MRI。 从 MRI 数据集导出的静态 3D 路线图用于增强 X 射线心血管介入手术的图像引导，并且实际上已在本实验室中用于开发新的治疗方法，例如二尖瓣环扎术。 静态路线图不能准确地表示心脏和呼吸运动期间的心血管解剖结构。 我们开发了一种系统，可以通过实时 MRI 扫描测量呼吸和心脏运动，并导出一组仿射模型，可用于对覆盖在实时 X 射线上的 3D 路线图进行跳动和呼吸。 我们还开发了强大的全自动数学技术来注册成像模式之间的基准标记。 我们与行业合作者合作，将我们本地开发的环境转化为用于成人和儿童测试的临床工业原型。 我们继续增强介入 MRI 实验期间以及 X 射线和 MRI 之间传输期间安全患者血流动力学监测和记录的系统。 我们开发了一种能够自适应噪声消除的系统，以滤除射频和磁梯度干扰。 我们继续致力于无线生理遥测系统。 我们将开始与 SBIR 承包商合作者合作，将这项工作转化为用于成人和儿童测试的临床工业原型。 我们的合作者 Michael S. Hansen 使用面向游戏的图形处理单元提供的廉价并行计算资源来加速计算密集型 MRI 数据的重建。 我们已经成功地将非笛卡尔并行成像集成到交互式采集和重建设置中，并证明实时重建和可视化对于相对复杂的重建算法是可能的。 它已与扫描仪软件集成，以便与其他序列组件无缝组合。 它已作为开源图像流框架进行传播，在生物医学成像领域的广泛应用中非常受欢迎。 我们开发了一种系统，可为操作员提供实时 MRI 数据的多个同时表示，以交互方式平衡时间和空间分辨率。 操作员选择所需的表示。 我们已经实现了黄金角实时 MRI，并交互式选择时间分辨率。 我们正在将非常成功的本地实时 MRI 软件环境迁移到商业平台上，以促进 NIH 之外的翻译，并加强行业和大学的合作。这需要大量的开发来更新主力实时 MRI 脉冲序列，以促进快速的多作者或多机构原型设计。 这一发展使得研究性人体 MRI 导管插入术可以在技术人员而不是物理学家的工作人员支持下进行，这反映了一个完善的临床相关系统。我们还继续增强实时 MRI 成像主机和图像重建环境，例如交互式地平衡时间和空间分辨率，并增强实时 MRI 临床导管插入期间的操作员工作流程。 我们继续与行业合作者合作，将我们本地开发的能力转化为用于成人和儿童测试的临床工业原型。 我们与 NHLBI 合作者合作探索表面线圈射频激励策略，以减少传导导管装置上的能量沉积。 我们已经能够将能量沉积减少大约一半，而不会显着降低图像质量，但我们正在寻求进一步减少热量。 我们已经开始研究减少能量沉积的实时 MR 成像脉冲序列，以提高使用导电导管装置的介入 MRI 的安全性，避免加热。 这对于植入起搏器和除颤器等设备的患者的安全 MRI 具有额外的实用性。 我们还继续开发实时 MRI 的新方法，或设计实时 MRI 的本地非商业实施例，以满足正在开发的程序的需求。