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/总结 该 SBIR/STTR 应用程序的目标是提供一种能够准确、非侵入性测量的技术 结构磁共振成像 (MRI) 扫描期间患者的头部运动（逐帧集成 实时 MRI 监测 - 结构 [FIRMM-s]）因为结构 MRI 扫描可产生高分辨率。 图像并且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， 特别是去年，仅在美国就有超过 800 万张脑部 MRI 图像， 不幸的是，大脑 MRI 受到头部运动的限制。 扫描可能会导致生成的图像不理想甚至无法使用（估计有 20% 的大脑）。 MRI 会因运动而损坏，每年浪费 2-40 亿美元，目前有两种主要策略。 打击头部运动：重复扫描和麻醉，这两者都是不够的。 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，并可能导致可用图像太少或不必要的额外图像。 可能移动的患者（例如幼儿）存在严重的安全风险，有时 不必要的管理（即患者无需麻醉即可保持静止）。 本次拨款中提出的基于软件的 FIRMM-s 解决方案使用 MR 图像（当它们被收集时）来 在 MRI 扫描过程中实时计算患者的头部运动 实时运动的可用性。 信息将使麻醉使用更加明智并减少过度扫描，从而使这些方法 有了实时运动信息，扫描操作员就能准确地知道有多少个。 已获取可用图像，防止获取过多或过少的额外图像。 此外，为医生提供有关患者运动的定量信息将使他们能够做出 有关麻醉的知情决定，防止不必要的镇静。 所提出的解决方案还包含一种对抗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 通过向患者提供反馈，该技术可以帮助儿童和成人患者保持更多状态。 尽管如此，拟议的研究重点是为 FIRMM-s 提供概念验证。 （第一阶段）以及构建和验证 FIRMM-s 的临床就绪版本（第二阶段）。 为扫描操作员、医生和患者提供实时运动信息，目的是使 MR 扫描更安全、更快且更便宜。