Real-Time MRI Motion Correction System

实时 MRI 运动校正系统

• 批准号: 8323818
• 负责人: ROLAND BAMMER
• 金额: $ 59.25万
• 依托单位: STANFORD UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-09-15 至 2014-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8323818
• 关键词: Address; Adopted; Adult; Algorithms; Anesthesia procedures; Articular Range of Motion; Base Sequence; Basic Science; Brain; Callback; Child; Childhood; Clinical; Complement; Computer Vision Systems; Computer software; Data; Detection; Development; Device Safety; Devices; Diagnosis; Disease; Economic Burden; Educational workshop; Elderly; Electronics; Enrollment; Environment; Evaluation; Family; Financial compensation; Goals; Grant; Head; Healthcare Systems; High Prevalence; Image; Individual; Lead; Libraries; Magnetic Resonance Imaging; Methods; Morphologic artifacts; Motion; Neurologic; Noise; Optics; Patient Care; Patients; Physiologic pulse; Positioning Attribute; Predisposition; Procedures; Protocols documentation; Reliance; Research; Research Project Grants; Resolution; Risk; Safety; Scanning; Scheme; Sedation procedure; Signal Transduction; Societies; Solutions; Speed; Stress; System; Techniques; Technology; Testing; Time; Universities; Update; Vision; Well in self; Work; aging population; analog; base; body system; clinical practice; comparative; cost; data sharing; design; detector; digital; human subject; image processing; improved; innovation; lens; meetings; novel marker; optical imaging; patient population; peer; programs; prospective; prototype; public health relevance; research and development; research clinical testing; research study; tool; volunteer

DESCRIPTION (provided by applicant): MOTIVATION - Motion remains one of the most frequent contributors to image artifacts in MR studies. The motion susceptibility of MRI is well-known and has spawned a number of elegant navigation techniques. These methods, however, are tailored to specific MR acquisitions that require modified k-space trajectories or the acquisition of additional MR data, and most are unable to correct certain types of motion, for example, through-plane motion. Moreover, motion correction has been focused on specific families of sequences, but no generally applicable approach currently exists. Certain patient populations, such as pediatric or geriatric patients, are more likely to move than others. In pediatric imaging, anesthesia is used to control motion, adding substantially to exam costs and patient risks. A sequence-independent, autonomous and prospective motion correction system could greatly improve image quality for a wide spectrum of MR examinations. For pediatric imaging, in particular, we anticipate reduced reliance on anesthesia to control patient motion. AIMS - We will be focusing on three independent specific aims (carried out in parallel and completed within 4 years), with corresponding subaims that we believe are important for establishing the technical/scientific merit and to demonstrate the feasibility of the proposed R&D efforts for our real-time adaptive motion correction approach. Specifically, these aims are: (1) to develop and evaluate a coil-mounted MR-compatible tracking device for routine clinical use; (2) to integrate pose tracking into real-time MRI; and (3) to validate our real-time motion correction system in volunteers and patients. METHODS -In Aim 1 we will improve the methods for computer-vision-based pose estimation inside an MR scanner and build an MR-compatible coil-mounted pose tracker that can be used in clinical routine examinations. In Aim 2 we will focus on reducing the latency between pose changes happening and the MR scanner reacting to these pose changes, and on building a software library for the MR pulse sequence development that allows one to implement real-time motion correction into all MR pulse sequences. In Aim 3 we will perform a thorough evaluation of our system on 60 volunteers (30 adults and 30 children) and 120 patients (80 adults and 40 children). SIGNIFICANCE - The impact of our technology has several facets. First, it will improve patient care by reducing the number of MR images with compromised quality because of motion artifacts. Especially because of the increasing reliance on MR Images as a primary means of diagnosis, this will reduce the number of misdiagnoses. Secondly, this technology will help to lower the high national spending on imaging by dramatically improving the efficiency of MRI scanners. Finally, it will improve patient comfort by reducing the need for repeat sequences, as well as reduce the necessity of sedation aimed at keeping the patient still. Overall, this technology will have a significant impact on MRI both in clinical practice and basic science research. PUBLIC HEALTH RELEVANCE: Synopsis Patient motion during an MRI exam can result in major degradation of image quality and decreased efficiency in a large portion of the 40 million MRI procedures performed annually. This is not only of increasing concern due to the aging population and its associated diseases, but also in children and patients who are simply too sick to remain still during an exam. This proposal aims to build an optical tracking system and methods to adapt MRI pulse sequences to changes in patient pose in real time. The project leverages on previous work from an R21 project in which a prototype system was successfully built. Specifically, the aims are to (i) introduce innovative improvements to the existing prototype, making the system suitable for use in clinical routine, (ii) modify the optical tracking system to be compatible with multiple MR sequences, and (iii) perform clinical evaluation. Our real-time technique is a unique and innovative solution that will improve MRI image quality and thus patient care, and will address the escalating burden of imaging costs on the health care system.

描述（由申请人提供）：动机 - 运动仍然是MR研究中最常见的图像伪像的贡献者之一。 MRI的运动敏感性是众所周知的，并产生了许多优雅的导航技术。 但是，这些方法是针对需要修改的K空间轨迹或获得其他MR数据的特定MR采集量身定制的，并且大多数人无法纠正某些类型的运动，例如，平面运动。 此外，运动校正已集中在特定的序列家庭上，但目前不存在通常的方法。 某些患者人群，例如小儿或老年患者，比其他患者更有可能移动。 在小儿成像中，麻醉用于控制运动，大大增加了检查成本和患者风险。 独立于序列的，自主和前瞻性运动校正系统可以大大提高各种MR检查的图像质量。 特别是对于儿科成像，我们预计对控制患者运动的麻醉依赖会降低。 目的 - 我们将重点关注三个独立的特定目标（并在4年内同时进行并完成），我们认为相应的Subaims对于建立技术/科学功绩很重要，并证明了对我们实时适应性运动校正方法的R＆D工作的可行性。 具体而言，这些目的是：（1）开发和评估既有线圈的MR兼容跟踪设备，供常规临床使用； （2）将姿势跟踪集成到实时MRI中； （3）在志愿者和患者中验证我们的实时运动校正系统。 方法 - 目标1我们将改善MR扫描仪内基于计算机的姿势估计的方法，并构建可用于临床常规检查的MR兼容线圈姿势跟踪器。 在AIM 2中，我们将重点放在减少发生姿势变化与对这些姿势变化反应的MR扫描仪之间的潜伏期，以及为MR Pulse序列开发构建软件库，该序列可以使人们实施实时运动校正到所有MR脉冲序列。 在AIM 3中，我们将对60名志愿者（30名成人和30名儿童）和120名患者（80名成人和40名儿童）进行全面评估。 意义 - 我们技术的影响有几个方面。 首先，由于运动伪像，它将通过减少质量受损的MR图像数量来改善患者护理。 特别是由于对MR图像作为诊断的主要手段的依赖越来越多，这将减少误诊的数量。 其次，这项技术将通过显着提高MRI扫描仪的效率来帮助降低国家成像的高度支出。 最后，它将通过减少重复序列的需求，并减少旨在保持患者仍然保持镇静的必要性来改善患者的舒适感。 总体而言，这项技术将对临床实践和基础科学研究中的MRI产生重大影响。 公共卫生相关性：MRI检查期间的摘要患者运动可能会导致图像质量的重大退化，并在每年执行的4000万MRI程序中的大部分效率下降。 这不仅是由于人口老龄化及其相关疾病的越来越多的关注点，而且还因为儿童和患者的病人和患者在考试期间仍然静止不动。 该建议旨在建立一个光学跟踪系统和方法，以使MRI脉冲序列实时变化。 该项目利用了R21项目的先前工作，在该项目中成功构建了原型系统。 具体而言，目的是（i）对现有原型引入创新的改进，使该系统适合在临床常规中使用，（ii）修改光学跟踪系统以与多个MR序列兼容，并且（iii）执行临床评估。 我们的实时技术是一种独特而创新的解决方案，它将改善MRI图像质量并因此，因此可以解决医疗保健系统中成像成本的不断升级负担。