Solving the MRI motion problem with Framewise Integrated Real-Time MRI Monitoring (FIRMM) software

使用逐帧集成实时 MRI 监测 (FIRMM) 软件解决 MRI 运动问题

• 批准号: 10264547
• 负责人: Todd William Deckard
• 金额: $ 140.84万
• 依托单位: TURING MEDICAL TECHNOLOGIES INC
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-05-01 至 2024-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10264547
• 关键词: ASD patient; Address; Adoption; Adult; Age; Anesthesia procedures; Award; Benchmarking; Biofeedback; Brain; Brain imaging; Businesses; Child; Childhood; Clinical; Clinical/Radiologic; Code; Computer software; Data; Data Display; Devices; Diagnostic; Digital Imaging and Communications in Medicine; Economics; Elderly; Ensure; Entropy; Evaluation Reports; Exposure to; Face; Feedback; Functional Magnetic Resonance Imaging; Funding; Goals; Grant; Head; Health; Human; Image; Institution; Investigation; Kinetics; Legal patent; MRI Scans; Magnetic Resonance Imaging; Measures; Medical; Methods; Monitor; Motion; Movement; Operating System; Participant; Patient Monitoring; Patients; Phase; Physicians; Predisposition; Radiation; Randomized; Research; Resolution; Risk; Robin bird; S Phase; Safety; Scanning; Sedation procedure; Small Business Innovation Research Grant; Small Business Technology Transfer Research; Specific qualifier value; Speed; Structure; System; Technology; Temperature; Testing; Time; Translating; United States; Validation; Visual; Work; aged; base; combat; cost; cost estimate; data acquisition; design; falls; high resolution imaging; improved; monitoring device; prevent; reconstruction; research clinical testing; tool; usability; wasting

Project Abstract/Summary The goal of this SBIR/STTR application is to deliver a technology that accurately and non-invasively measures a patient’s head motion during a structural magnetic resonance imaging (MRI) scan (Framewise Integrated Real-Time MRI Monitoring -structural [FIRMM-s]). Because structural 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). The software-based FIRMM-s 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 also contains an entirely new method for combating head motion: patient biofeedback. The technology can translate the head motion information into age-appropriate, visual biofeedback for the patient. By providing feedback to patients, the technology helps both pediatric and adult patients remain more still, improving image quality. The proposed research focuses on delivering proof-of-concept for FIRMM-s (Phase I) and building and validating a clinical-ready version of FIRMM-s (Phase II). The FIRMM-s device provides scan operators, physicians, and patients with real time motion information, with the goal of making MR scans safer, faster, and less expensive.

项目摘要/摘要 该SBIR/STTR应用程序的目的是提供一种准确和非侵入性测量的技术 在结构磁共振成像（MRI）扫描期间患者的头部运动 实时MRI监测 - 结构[Firmm-S]）。因为结构性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， 特别是用于成像大脑。去年，仅在美国，就有超过800万的大脑MRI， 估计耗资约200亿美元。不幸的是，大脑MRI受到以下事实的限制。 扫描可能导致所得图像次优甚至无法使用。估计所有大脑的20％ MRI被动作破坏，每年浪费200亿美元。目前，有两种主要策略 战斗头运动：重复扫描和麻醉，两者都不足。重复扫描，哪个 包括获取额外图像（确保获得足够的图像），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的额外图像。麻醉 可能会移动的患者（例如幼儿）会出现严重的安全风险，有时是 管理不必要的（即患者仍然可以没有麻醉）。 该赠款中提出的基于软件的FIRMEM-S解决方案使用MR图像（收集到它们的收集） 在MRI扫描期间，实时计算患者的头部运动。实时运动的可用性 信息将使更多明智的麻醉使用并减少多余的扫描，从而做出这些方法 更安全，更高效。扫描操作员将拥有实时运动信息，将确切知道多少 已经获取了可用的图像，从而阻止了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。 提出的解决方案还包含一种打击头部运动的全新方法：患者生物反馈。 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 病人。通过向患者提供反馈，该技术可以帮助小儿和成年患者保持更多 尽管如此，提高图像质量。拟议的研究重点是为Firmm-S提供概念验看 （I阶段）并构建并验证了Firmm-S（II阶段）的临床就绪版本。 Firmm-S设备 为扫描操作员，医生和患者提供实时运动信息，目的是 扫描先生更安全，更快，更便宜。