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

视觉生物反馈已做好商业化准备，以减少 MRI 扫描期间的头部运动

• 批准号: 10532740
• 负责人: Ken Bruener
• 金额: $ 113.69万
• 依托单位: TURING MEDICAL TECHNOLOGIES INC
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-12-01 至 2024-11-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10532740
• 关键词: Adult; Age; American; Anesthesia procedures; Award; Back; Behavioral; Biofeedback; Brain imaging; Categories; Child; Childhood; Client satisfaction; Clinical; Clinical Research; Code; Computer software; Conscious; Current Procedural Terminology; Current Procedural Terminology Codes; Data; Development; Elderly; Emerging Technologies; Ensure; Face; Feedback; Feeds; Functional Magnetic Resonance Imaging; Goals; Grant; Head; Health; Hospitals; Image; Institution; Letters; MRI Scans; Magnetic Resonance Imaging; Market Research; Marketing; Measurement; Medical; Methods; Monitor; Motion; Movement; Participant; Patients; Physicians; Predisposition; Preparation; Price; Protocols documentation; Questionnaires; Radiation; Relaxation; Research; Research Subjects; Resolution; Risk; Robin bird; Safety; Scanning; Secure; Sedation procedure; Site; Societies; System; Technology; Testing; Time; Training; Translating; United States; United States Centers for Medicare and Medicaid Services; Visual; Work; awake; base; biobehavior; brain magnetic resonance imaging; clinical care; clinical practice; combat; commercialization; commercialization readiness; cost; cost estimate; diagnostic tool; experience; high resolution imaging; improved; interest; non-invasive monitor; prevent; price lists; programs; software development; success; usability; visual feedback; wasting

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.

项目摘要/摘要 该CRP应用程序的目的是成功地将脑MRI技术商业化 从我们的框架集成的实时MRI监测（FIRMM）得出的背部头运动测量值 向MRI扫描参与者进行软件，以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 非常有价值的诊断工具，特别是用于想象大脑。去年，仅在美国， 大脑MRI超过800万，估计耗资200亿美元。不幸的是，大脑MRI是有限的 扫描过程中的头部运动可能导致产生的图像次优甚至 无法使用。估计所有大脑MRI的20％因运动破坏，每年浪费200亿美元。现在， 有两种主要的策略来应对头部运动：重复扫描和麻醉，这两者都 不足。重复扫描，该扫描包括额外的图像（以确保足够的图像 获得），增加扫描时间和成本，并且可能导致太少的可用图像或不必要 额外的图像。麻醉是给可能会移动的患者（例如幼儿）的，礼物 严重的安全风险，有时是不必要的（即，患者可以保持不动 麻醉）。麻醉绝不是功能性MRI（fMRI）的选择，这要求参与者清醒。 我们开发的基于软件的Firmm-BiofeDback解决方案使用MR图像（因为它们是 收集）在MRI扫描过程中，实时计算患者的头部运动。实时的可用性 运动信息可以使更多明智的麻醉使用并减少超过扫描，从而使这些 方法更安全，更有效。扫描操作员将拥有实时运动信息，将确切知道 获取了多少可用图像，以阻止收购过多或太少的额外图像。 此外，向医生提供有关患者运动的定量信息将使他们能够做 关于麻醉的明智决定，防止不必要的镇静。 Firmm Technology提供了一种全新的生物行为方法来打击头部运动： 患者生物反馈。 FIRMM可以将头部运动信息转化为适合年龄的视觉 扫描参与者的生物反馈。通过向患者和研究对象提供反馈，FINDM- 生物反馈技术可帮助小儿和成年患者保持更静止，从而提高图像质量。这 拟议的研究重点是完成Firmm-BiofeDback的后期开发 商业化，建立营销和报销策略。 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MR 扫描更安全，更快，更有趣，更便宜。