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（不变） 该应用程序的目标是提供一种脑部 MRI 技术，可反馈头部运动测量结果 源自我们的逐帧集成实时 MRI 监测 (FIRMM) 到 MRI 扫描参与者的顺序 通过行为训练减少头部运动。因为 MRI 扫描可产生高分辨率图像 不会使患者受到辐射，它已成为一种非常有价值的诊断工具，特别是对于 对大脑进行成像。去年，仅在美国，就有超过 800 万次脑部 MRI 检查，花费了 估计20-300亿美元。不幸的是，脑部 MRI 受到以下事实的限制：扫描过程中头部运动可能会影响 导致生成的图像不理想甚至无法使用。估计 20% 的脑部 MRI 已损坏 通过议案，每年浪费 2-40 亿美元。目前，对抗头部的主要策略有两种 运动：重复扫描和麻醉，这两者都是不够的。重复扫描，其中包括 获取额外的图像（以确保获取足够的可用图像），增加扫描时间和成本，以及 可能会导致可用图像太少或不必要的额外图像。麻醉，适用于以下患者 可能会移动（例如幼儿），存在严重的安全风险，有时会受到管理 不必要的（即患者无需麻醉即可保持静止）。麻醉从来都不是功能性手术的选择 MRI (fMRI)，要求参与者保持清醒。基于软件的 FIRMM 生物反馈解决方案 本次拨款中提出的方案使用 MR 图像（当它们被收集时）来计算患者真实的头部运动 MRI 扫描期间的时间。实时运动信息的可用性将使麻醉更加明智 使用并减少多余的扫描，使这些方法更安全、更高效。配备实时运动 信息，扫描操作员将确切地知道已采集了多少可用图像，从而防止 获取太多或太少的额外图像。此外，为医生提供定量信息 关于患者运动的信息将使他们能够就麻醉做出明智的决定，防止 不必要的镇静剂。所提出的解决方案侧重于一种全新的生物行为方法 对抗头部运动：受试者生物反馈。该技术可以将头部运动信息转化为 为扫描参与者提供适合年龄的视觉生物反馈。通过向患者和研究提供反馈 FIRMM 生物反馈技术可帮助儿童和成人患者保持更加安静， 提高图像质量。拟议的研究重点是为 FIRMM 提供概念验证 生物反馈（第一阶段）以及构建和验证 FIRMM-生物反馈的产品版本（第二阶段）。这 FIRMM-生物反馈技术为患者和研究对象提供实时头部运动 信息，旨在使 MR 扫描更安全、更快速、更愉快且更便宜。