Motion-robust brain MRI for infants
Motion-robust brain MRI for infants
批准号:
10264551
负责人:
Todd William Deckard
金额:
$182.22万
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 2024-08-31
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 monitoringneonatereconstructiontoolusabilitywasting
中文摘要
项目摘要/摘要
此SBIR/STTR快速通道提交的目的是提供一个软件解决方案,以减少影响
婴儿脑部核磁共振成像时头部运动的变化因为结构核磁共振扫描产生高分辨率的图像
并且不使患者暴露于辐射,它已成为一种非常有价值的诊断工具,特别是对于
对婴儿样本的大脑进行成像每年大约有价值200亿美元的脑部MRI在美国进行。
美国,包括50万婴儿扫描。MRI最大的问题是它对患者运动的敏感性。
大约20%的临床脑MRI因运动浪费而失真,约40亿美元/年。目前,MRI运动是
通过重复扫描或麻醉来处理。这两种方法都降低了吞吐量,同时增加了成本,
患者负担和健康风险。在婴儿中,麻醉会导致脑损伤,导致FDA黑盒
警告3岁以下儿童不要使用。因此,婴儿脑部MRI护理的标准是襁褓
他们和希望最好的。
尽管需求很大,但没有与婴儿兼容的MRI运动监测系统。基于相机
当用于婴儿时,系统遇到了严重的限制-只有FIRMM的纯软件方法才能工作
容易且可靠。在SBIR/STTR奖项的支持下,必须克服两个障碍,
用于研究和临床的FIRMM-婴儿。1)适合婴儿的运动感应/校正版本
必须生成序列(T1 w,T2 w)。2)FIRMM-婴儿可用性及其改善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)提供概念验证,
在供应商之间验证FIRMM-婴儿的临床就绪版本(第二阶段)。FIRMM婴儿设备
为扫描操作员和医生提供真实的时间运动信息,并结合vNav就绪
运动传感序列将MR扫描更安全,更快,更便宜的婴儿成像。
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
-
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:10081657
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项目类别:
-
资助金额:$179.02万
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财政年份:2020
-
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
-
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