Commercialization readiness of visual biofeedback to reduce head motion during MRI scans

项目摘要/摘要 这个CRP应用程序的目标是成功地将一种脑部MRI技术商业化 从我们的帧集成实时MRI监测(FIRMM)获得的后头运动测量 通过软件对参与者进行核磁共振扫描，以通过行为训练来减少头部运动。因为核磁共振 扫描产生高分辨率的图像，不会使患者受到辐射，它已经成为一种 非常有价值的诊断工具，特别是对大脑进行成像。去年，仅在美国， 有超过800万次脑部核磁共振检查，估计花费了200-300亿美元。不幸的是，脑部核磁共振成像是有限的 这是因为在扫描过程中头部运动可能会导致所得到的图像不是最优的，甚至是不理想的 无法使用。据估计，所有大脑核磁共振成像中有20%被运动破坏，每年浪费20-40亿美元。目前， 对抗头部运动有两种主要策略：重复扫描和麻醉，这两种策略都是 是不够的。重复扫描，包括获取额外的图像(以确保足够的可用图像 获取)，增加了扫描时间和成本，并可能导致可用图像太少或不必要 额外的图像。麻醉是给可能活动的患者(如幼儿)提供的 严重的安全风险，有时不必要地给药(例如，患者可以在没有 麻醉)。麻醉从来不是功能磁共振成像(FMRI)的一种选择，它要求参与者保持清醒。 我们开发的基于软件的FIRMM-生物反馈解决方案使用MR图像(因为它们是 收集)以在MRI扫描期间实时计算患者的头部运动。实时的可用性 运动信息使麻醉使用更知情，并减少过度扫描，使这些 方法更安全、更高效。有了实时运动信息，扫描操作员将准确地知道 已获取多少可用图像，防止获取过多或过少的额外图像。 此外，向医生提供有关患者运动的量化信息将使他们能够做出 关于麻醉的知情决定，防止不必要的镇静。 FIRMM技术为对抗头部运动提供了一种全新的生物行为方法： 病人的生物反馈。FIRMM可以将头部运动信息转换为适合年龄的视觉信息 扫描参与者的生物反馈。通过向患者和研究对象提供反馈，FIRMM- 生物反馈技术帮助儿科和成人患者保持更多静止，提高图像质量。这个 建议的研究重点是完成FIRMM的后期开发-生物反馈为 商业化，通过建立营销和报销战略。FIRMM--生物反馈技术 为患者和研究对象提供实时的头部运动信息，目的是使磁共振 扫描更安全、更快、更有趣、更便宜。

Project Abstract/Summary The goal of this CRP application is to successfully commercialize a brain MRI technology that feeds back head motion measurements derived from our Framewise Integrated Real-Time MRI Monitoring (FIRMM) software 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 we developed 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 enables 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. FIRMM technology provides a completely new biobehavioral method for combating head motion: patient biofeedback. FIRMM 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 completing late-stage development for FIRMM-biofeedback getting ready for commercialization, by building a marketing and reimbursement strategy. 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.