Visual biofeedback to reduce head motion during MRI scans

项目摘要/母公司奖摘要（无变化） 该应用程序的目标是提供大脑MRI技术，反馈头部运动测量 从我们的Framewise集成实时MRI监测（FIRMM）导出到MRI扫描参与者， 通过行为训练来减少头部运动。由于MRI扫描产生高分辨率图像， 它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，特别是对于 大脑成像去年，仅在美国，就有超过800万次脑部核磁共振成像， 估计200 - 300亿美元。不幸的是，脑部核磁共振成像受到这样一个事实的限制，即扫描过程中头部的运动会 导致所得到的图像不是最佳的或者甚至是不可用的。据估计，20%的脑部核磁共振成像都被破坏了， 通过动议，每年浪费20 - 40亿美元。目前，有两种主要的策略来对抗头部 运动：重复扫描和麻醉，两者都不充分。重复扫描，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 可能导致可用图像太少或不必要的额外图像。麻醉，这是给病人， 可能会移动（如幼儿），存在严重的安全风险，有时会给药 不必要的（即患者可以在没有麻醉的情况下保持静止）。麻醉永远不是功能性的选择 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 在这项授权中提出的一种方法使用MR图像（当它们被收集时）来计算病人的头部运动，这是真实的 在MRI扫描期间。真实的时间运动信息的可用性将使麻醉更加知情 使用和减少多余的扫描，使这些方法更安全，更有效。配备真实的时间运动 信息，扫描操作员将确切地知道已经采集了多少可用图像， 获取过多或过少的额外图像。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做出关于麻醉的知情决定， 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：主体生物反馈。该技术可以将头部运动信息转化为 适合年龄的，视觉生物反馈扫描参与者。通过向患者和研究提供反馈 受试者，FIRMM生物反馈技术帮助儿童和成人患者保持更安静， 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）和建立和验证FIRMM-生物反馈的产品版本（第二阶段）。的 FIRMM-生物反馈技术为患者和研究对象提供真实的时间头部运动 我们的目标是使MR扫描更安全、更快速、更愉快、更便宜。

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.