Intervertebral Disc Mechanics with Functional GRASP-MRI
具有功能性 GRASP-MRI 的椎间盘力学
基本信息
- 批准号:10328260
- 负责人:
- 金额:$ 18.46万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2021
- 资助国家:美国
- 起止时间:2021-02-01 至 2023-12-31
- 项目状态:已结题
- 来源:
- 关键词:AddressAffectAgeAgingAlgorithmsAnatomyAnimalsBack PainBehaviorBiochemicalCadaverCattleCharacteristicsChronicClinicalComplexDataDeformityDiagnosisDiffusionEvaluationGenderGoalsHistologyHumanImageImaging TechniquesIndividualIntervertebral disc structureLeadLife StyleLow Back PainLow PrevalenceMagnetic Resonance ImagingMeasurementMechanicsModelingMotionNoiseOpioidOpticsPainPathologyPerformancePosturePrevalencePropertyProteoglycanProtocols documentationRadialRecoveryRelaxationReportingReproducibilityResolutionRestSamplingScanningSilicone GelsSourceSpinalSpinal StenosisSpine surgerySpondylolisthesisSupinationSymptomsT2 weighted imagingTechniquesTestingTimeTranslationsValidationVertebral columnbasebiomechanical testdiscogenic painflexibilityfunctional disabilityglobal healthhealthy volunteerimaging studyin vivoin vivo evaluationintervertebral disk degenerationmechanical loadnon-invasive imagingnormal agingnucleus pulposusphantom modelradicular painresponsesocioeconomicssuccesssurgery outcometemporal measurement
项目摘要
PROJECT SUMMARY
Low back pain (LBP) is a major clinical and socioeconomic global health burden. In fact, LBP affects nearly all
of us at least once in our lives, and in ~20% the condition becomes chronic. The intervertebral disc (IVD) consists
of a proteoglycan (PG)-rich nucleus pulposus (NP) surrounded by a collagenous annulus fibrosus (AF) that
together provide support, transmit complex loads and motion of the spine. With aging, the IVD undergoes
progressive and irreversible degenerative changes that often lead to LBP. Several techniques have been utilized
to characterize the IVD, using animal or human cadaver models. While these studies can provide important data,
internal disc mechanics may have different characteristics and quantifying the behavior of internal disc
mechanics is technically challenging for in-vivo applications in humans. Therefore, we hypothesize that MRI
studies of the lumbar IVDs performed under different static mechanical loading states (e.g., rest, during loading
and recovery), using a flexible dynamic Golden-angle Radial Sparse Parallel (GRASP) MRI technique, could be
used to better quantify disc mechanics in-vivo.
The overarching goal of this R21 proposal is to develop a framework for non-invasive evaluation of in-vivo lumbar
IVD mechanics (e.g., strain mapping in L1/L2-L5/S1) in response to MRI-compatible mechanical loading. For
this purpose, we will utilize a fast, flexible dynamic Golden-angle Radial Sparse Parallel (GRASP)-MRI
acquisition, for quantitative assessment of biomechanical characterization of lumbar IVDs on a standard clinical
3T scanner in a clinically feasible scan time, employing compressed sensing (CS), parallel imaging (PI), golden
angle radial sampling and an optical flow algorithm.
项目摘要
下背痛(LBP)是一种主要的临床和社会经济全球健康负担。事实上,LBP几乎影响所有
在我们的生活中至少有一次,并且在20%的情况下成为慢性病。椎间盘(IVD)
富含蛋白多糖(PG)的髓核(NP)被胶原纤维环(AF)包围,
一起提供支撑、传递复杂的负荷和脊柱的运动。随着老化,IVD经历
进行性和不可逆的退行性变化,往往导致LBP。已经使用了几种技术
使用动物或人尸体模型表征IVD。虽然这些研究可以提供重要的数据,
内部椎间盘力学可能具有不同的特征,
力学对于人体的体内应用在技术上具有挑战性。因此,我们假设MRI
在不同静态机械负荷状态下进行的腰椎IVD的研究(例如,静止,加载期间
和恢复),使用灵活的动态黄金角径向稀疏并行(GRASP)MRI技术,
用于更好地量化体内椎间盘力学。
这项R21提案的首要目标是开发一个框架,用于体内腰椎间盘突出症的非侵入性评估。
IVD机械师(例如,L1/L2-L5/S1中的应变映射)。为
为此,我们将利用快速、灵活的动态黄金角径向稀疏并行(GRASP)-MRI
采集,用于在标准临床试验中定量评估腰椎IVD的生物力学特征
3 T扫描仪在临床可行的扫描时间内,采用压缩感知(CS),并行成像(PI),黄金
角度径向采样和光流算法。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Ravinder Regatte其他文献
Ravinder Regatte的其他文献
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{{ truncateString('Ravinder Regatte', 18)}}的其他基金
Multiparametric Mapping of Knee Joint with Magnetic Resonance Fingerprinting
膝关节磁共振指纹多参数绘图
- 批准号:
10541223 - 财政年份:2021
- 资助金额:
$ 18.46万 - 项目类别:
Multiparametric Mapping of Knee Joint with Magnetic Resonance Fingerprinting
膝关节磁共振指纹多参数绘图
- 批准号:
10115230 - 财政年份:2021
- 资助金额:
$ 18.46万 - 项目类别:
Data-Driven Learning Framework for Fast Quantitative Knee Joint Mapping
用于快速定量膝关节绘图的数据驱动学习框架
- 批准号:
10430275 - 财政年份:2021
- 资助金额:
$ 18.46万 - 项目类别:
Data-Driven Learning Framework for Fast Quantitative Knee Joint Mapping
用于快速定量膝关节绘图的数据驱动学习框架
- 批准号:
10296235 - 财政年份:2021
- 资助金额:
$ 18.46万 - 项目类别:
Rapid Quantitative Assessment of Knee Joint with Compressed Sensing
利用压缩感知对膝关节进行快速定量评估
- 批准号:
10455507 - 财政年份:2020
- 资助金额:
$ 18.46万 - 项目类别:
Rapid Quantitative Assessment of Knee Joint with Compressed Sensing
利用压缩感知对膝关节进行快速定量评估
- 批准号:
10686034 - 财政年份:2020
- 资助金额:
$ 18.46万 - 项目类别:
Rapid Quantitative Assessment of Knee Joint with Compressed Sensing
利用压缩感知对膝关节进行快速定量评估
- 批准号:
10227958 - 财政年份:2020
- 资助金额:
$ 18.46万 - 项目类别:
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