Visual biofeedback to reduce head motion during MRI scans

视觉生物反馈可减少 MRI 扫描期间的头部运动

• 批准号: 10442332
• 负责人: Ken Bruener
• 金额: $ 30万
• 依托单位: TURING MEDICAL TECHNOLOGIES INC
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-09-11 至 2023-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10442332
• 关键词: Adult; Age; Anesthesia procedures; Award; Back; Behavioral; Biofeedback; Brain; Brain imaging; Child; Childhood; Client satisfaction; Clinical Research; Computer software; Diagnostic; Ensure; Feedback; Feeds; Functional Magnetic Resonance Imaging; Goals; Grant; Head; Image; Imaging technology; MRI Scans; Magnetic Resonance Imaging; Measurement; Methods; Monitor; Motion; Parents; Participant; Patients; Phase; Physicians; Radiation; Research; Research Subjects; Resolution; Risk; Safety; Scanning; Sedation procedure; Technology; Time; Training; Translating; United States; Visual; awake; base; biobehavior; combat; cost; cost estimate; high resolution imaging; improved; non-invasive monitor; prevent; software development; tool; wasting

Project Abstract/Summary of Parent Award (no change) The goal of this application is to deliver a brain MRI technology that feeds back head motion measurements derived from our Framewise Integrated Real-Time MRI Monitoring (FIRMM) to MRI scan participants in order to reduce head motion via behavioral training. Because MRI scanning produces high-resolution images and does not expose patients to radiation, it has become an immensely valuable diagnostic tool, particularly for imaging the brain. Last year, in the United States alone, there were over 8 million brain MRIs, costing an estimated $20-30 billion. Unfortunately, brain MRIs are limited by the fact that head motion during the scan can cause the resulting images to be suboptimal or even unusable. An estimated 20% of all brain MRIs are ruined by motion, wasting $2-4 billion annually. Currently, there are two predominant strategies to combat head motion: repeat scanning and anesthesia, both of which are inadequate. Repeat scanning, which consists of acquiring extra images (to ensure enough usable ones were acquired), increases scanning time and cost, and can result in too few usable images or unnecessary extra images. Anesthesia, which is given to patients who are likely to move (such as young children), presents a serious safety risk and is sometimes administered unnecessarily (i.e. the patient could hold still without anesthesia). Anesthesia is never an option for functional MRI (fMRI), which requires participants to be awake. The software-based FIRMM-biofeedback solution proposed in this grant uses MR images (as they are being collected) to compute a patient’s head motion in real time during an MRI scan. The availability of real time motion information will enable more informed anesthesia use and reduce excess scanning, making these methods safer and more efficient. Armed with real time motion information, scan operators will know exactly how many usable images have been acquired, preventing the acquisition of too many or too few extra images. Additionally, providing physicians with quantitative information about patient motion will allow them to make an informed decision regarding anesthesia, preventing unnecessary sedation. The proposed solution focuses on a completely new biobehavioral method for combating head motion: subject biofeedback. The technology can translate the head motion information into age-appropriate, visual biofeedback for the scan participant. By providing feedback to patients and research subjects, the FIRMM-biofeedback technology helps both pediatric and adult patients remain more still, improving image quality. The proposed research focuses on delivering proof-of-concept for FIRMM- biofeedback (Phase I) and building and validating a product version of FIRMM-biofeedback (Phase II). The FIRMM-biofeedback technology provides patients and research subjects with real time head motion information, with the goal of making MR scans safer, faster, more enjoyable and less expensive.

项目摘要/家长奖摘要（无更改） 该应用的目的是提供一种大脑MRI技术，该技术可以反馈头部运动测量 从我们的框架集成的实时MRI监控（FIRMM）衍生为MRI扫描参与者 通过行为训练减少头部运动。因为MRI扫描会产生高分辨率图像，并且 不会使患者暴露于辐射，它已成为一种非常有价值的诊断工具，特别是 成像大脑。去年，仅在美国，就有超过800万的脑部MRI 估计为20-30亿美元。不幸的是，大脑MRI受到扫描过程中的头部运动的限制 导致所得图像次优甚至无法使用。估计所有大脑MRI的20％被破坏 通过动作，每年浪费2-4亿美元。目前，有两种主要的策略来对抗头部 运动：重复扫描和麻醉，两者都不足。重复扫描，包括 获取额外的图像（以确保获得足够的图像），增加扫描时间和成本，以及 可能会导致太少的可用图像或不必要的额外图像。麻醉，这是给患者 很可能会移动（例如幼儿），出现严重的安全风险，有时会受到管理 不必要的（即，患者仍然可以没有麻醉）。麻醉永远不是功能的选择 MRI（fMRI），要求参与者清醒。基于软件的Firmm-BioFeDback解决方案 在此赠款中提出的使用MR图像（收集到它们是在收集的）真实计算患者的头部运动 MRI扫描期间的时间。实时运动信息的可用性将使更多明智的麻醉 使用并减少多余的扫描，使这些方法安全，更有效。用实时运动武装 信息，扫描操作员将确切知道已获取了多少可用图像，以防止 获取太多或太少的额外图像。此外，向医生提供定量信息 关于患者的运动将使他们能够就麻醉的明智决定做出明智的决定 不必要的镇静。提出的解决方案重点介绍了一种全新的生物行为方法 对抗头部运动：主题生物反馈。该技术可以将头部运动信息转化为 适合扫描参与者的年龄，视觉生物反馈。通过向患者提供反馈和研究 受试者，Firmm-BioFeDback技术可帮助儿科和成年患者保持更静止， 提高图像质量。拟议的研究重点是为Firmm-提供概念概念 - 生物反馈（I阶段）并构建和验证了Firmm-BiofeDback（II阶段）的产品版本。这 Firmm-BioFeDback技术为患者和研究对象提供实时头部运动 信息，目的是使扫描先生更安全，更快，更有趣，更便宜。