Motion-robust brain MRI for infants
Motion-robust brain MRI for infants
批准号:
10081657
负责人:
Todd William Deckard
金额:
$179.02万
依托单位国家:
美国
项目类别:
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-07-03 至 2021-06-30
关键词:
2 year old3 year oldAddressAnesthesia proceduresAwardBenchmarkingBrainBrain InjuriesBrain imagingCaringChildClinicClinicalComputer softwareDataData DisplayDevicesDiagnosticDigital Imaging and Communications in MedicineEnsureEntropyFaceFunctional Magnetic Resonance ImagingFundingGoalsHeadHealthHumanImageInfantInstitutionInvestigationKineticsMRI ScansMagnetic Resonance ImagingMedicalMonitorMotionMovementPatientsPhasePhysiciansPredispositionProcessRadiationRandomizedResearchResolutionRiskRobin birdRunningSamplingScanningSmall Business Innovation Research GrantSmall Business Technology Transfer ResearchSpeedStructureSystemTechnologyTemperatureTestingTimeUpdateVendorWorkagedbasecostdata acquisitiondesignfunctional MRI scanhigh resolution imagingimprovedinfant monitoringneonatereconstructionstructured datatoolusabilitywasting
中文摘要
项目摘要/摘要
此SBIR/STTR快速通道提交的目标是提供一个软件解决方案,以减少影响
婴儿脑部核磁共振检查中的头部运动。因为结构性核磁共振扫描产生高分辨率图像
而且不会使患者暴露在辐射中,它已经成为一种非常有价值的诊断工具,特别是对
在婴儿样本中对大脑进行成像。每年在中国进行价值约200亿美元的脑部核磁共振检查
美国,包括500,000个婴儿扫描。对于MRI来说,最大的问题是它对患者运动的敏感性。
大约20%的临床大脑核磁共振成像因运动浪费而失真,每年约40亿美元。目前,核磁共振运动是
通过重复扫描或麻醉来处理。这两种方法都会降低吞吐量,同时增加成本,
患者负担和健康风险。在婴儿中,麻醉会导致脑损伤,导致FDA的黑匣子
对3岁以下儿童的警告。因此,婴儿的脑部核磁共振检查的标准是
并抱着最好的希望。
尽管需求很大,但目前还没有与婴儿兼容的核磁共振运动监测系统。基于摄像头的
系统在与婴儿一起使用时遇到严重限制-只有FIRMM的纯软件方法才能工作
轻松、可靠。在SBIR/STTR奖的支持下,必须克服两个障碍才能发展
FIRMM-研究和临床使用的婴儿。1)适合婴儿使用的运动感知/矫正版本
必须生成序列(T1w、T2w)。2)FIRMM-婴儿可用性及其提高MRI质量的能力
必须得到证明。
拟议的研究重点是为FIRMM-婴儿(第一阶段)和建筑提供概念验证
跨供应商验证FIRMM-Baby的临床就绪版本(第二阶段)。FIRMM-婴儿设备
为扫描操作员和医生提供实时运动信息,并与vNav Ready相结合
运动感应序列将使磁共振扫描更安全、更快、更便宜,适合婴儿成像。
英文摘要
Project Abstract/Summary
The objective of this SBIR/STTR Fast Track submission is to provide a software solution to reduce the effects
of head motion during brain MRIs of infants. 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 in infant samples. Approximately $20 billion worth of brain MRIs are performed each year in
the US, including 500,000 infant scans. The greatest problem for MRI is its susceptibility to patient motion.
About 20% of clinical brain MRIs are distorted by motion – wasting ~$4 billion/year. Currently, MRI motion is
dealt with by repeating scans or anesthesia. Both approaches diminish throughput, while increasing costs,
patient burden, and health risks. In infants, anesthesia causes brain injury, leading to an FDA blackbox
warning against it for children under 3 years old. Thus, the standard of brain MRI care in infants is swaddling
them and hoping for the best.
There are no infant-compatible MRI motion monitoring systems, despite the great need. Camera-based
systems encounter critical limitations when used with infants – only FIRMM's software-only approach can work
easily and reliably. Two obstacles must be overcome with support from this SBIR/STTR award to develop
FIRMM-infant for research and clinical use. 1) Infant-compatible versions of motion-sensing/correcting
sequences must be generated (T1w, T2w). 2) FIRMM-infant usability and its ability to improve MRI quality
must be demonstrated.
The proposed research focuses on delivering proof-of-concept for FIRMM-infant (Phase I) and building and
validating a clinical-ready version of FIRMM-infant across vendors (Phase II). The FIRMM-infant device
provides scan operators and physicians with real time motion information, and in combination with vNav ready
motion sensing sequences will MR scans safer, faster, and less expensive for infant imaging.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Solving the MRI motion problem with Framewise Integrated Real-Time MRI Monitoring (FIRMM) software
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批准号:10264547
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项目类别:
-
资助金额:$140.84万
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财政年份:2020
-
负责人:Todd William Deckard
-
依托单位:
Motion-robust brain MRI for infants
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批准号:10264551
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项目类别:
-
资助金额:$182.22万
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财政年份:2020
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负责人:Todd William Deckard
-
依托单位:
Solving the MRI motion problem with Framewise Integrated Real-Time MRI Monitoring (FIRMM) software
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批准号:10009674
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项目类别:
-
资助金额:$119.0万
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财政年份:2020
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负责人:Todd William Deckard
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依托单位:
Visual biofeedback to reduce head motion during MRI scans
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批准号:9908756
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项目类别:
-
资助金额:$96.61万
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财政年份:2019
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负责人:Todd William Deckard
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依托单位:
Visual biofeedback to reduce head motion during MRI scans
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批准号:10019735
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项目类别:
-
资助金额:$154.92万
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财政年份:2019
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负责人:Todd William Deckard
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依托单位:
海外基金