Shear shock wave propagation in the brain: high frame-rate ultrasound imaging, characterization, and simulations
剪切冲击波在大脑中的传播:高帧率超声成像、表征和模拟
基本信息
- 批准号:9039163
- 负责人:
- 金额:$ 31.36万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2015
- 资助国家:美国
- 起止时间:2015-04-01 至 2020-03-31
- 项目状态:已结题
- 来源:
- 关键词:AccelerationAir BagsAlgorithmsAnimal ExperimentsAthletic InjuriesBehaviorBiomechanicsBlast InjuriesBrainBrain ConcussionBrain InjuriesBrain imagingCause of DeathCephalometryCraniocerebral TraumaDataDatabasesDiagnosisDiffuse Axonal InjuryEquipmentEthicsEventFamily suidaeFrequenciesHeadHealthHelmetHumanImageImaging DeviceInjuryLinkMapsMeasurementMeasuresMechanicsMethodsMilitary PersonnelModelingMotionNeuronsNonpenetrating WoundsPropertyResearchResolutionShockSolidSourceSportsSystemTechniquesTestingTimeTissuesTraumaTraumatic Brain InjuryTraumatic injuryUltrasonicsUltrasonographyViolencebasecell injurydesigndisabilityhead impactimaging modalityimaging platformin vivoinstrumentkinematicsmovienovelresearch studyrestraintsimulationsoft tissuesubmicrontooltraumatic eventyoung adult
项目摘要
DESCRIPTION (provided by applicant): Predictors of brain injury, such as the head injury criterion, rely on external measurements of head motion. Direct measurements of brain motion could more accurately predict brain injury. Current methods of estimating brain deformation fail to provide the high frame-rates necessary to characterize the fast transient events asso- ciated with traumatic brain injury. We have developed novel ultrasonic methods and motion tracking algorithms that can generate high frame-rate (up to 10,000 images/second) movies that quantify brain motion with a high displacement sensitivity (better than 1 micron). We propose to use this technique to image and quantify shear shock wave propagation in the ex vivo and in vivo brain. Preliminary data is presented, showing for the ¿rst time, shear shock wave propagation in the brain. The violent gradients in shear shock waves may tear and damage neurons thus causing diffuse axonal injuries. We propose to characterize the nonlinear properties of the brain and to develop nonlinear simulations of shear shock wave propagation in the brain. We propose animal experiments in conjunction with histological analysis to establish a link between these rapid events and injury. We propose simulations in conjunction with measurements of head acceleration to predict injuries and concussions. If successful, this research could transform how we view the mechanics of trauma in the brain and be applied to traumatic injuries anywhere in the body.
描述(由申请人提供):脑损伤的预测,如头部损伤标准,依赖于头部运动的外部测量。直接测量大脑运动可以更准确地预测脑损伤。目前估计脑变形的方法不能提供表征与创伤性脑损伤阿索的快速瞬态事件所需的高帧率。我们开发了新颖的超声波方法和运动跟踪算法,可以生成高帧率(高达10,000张图像/秒)的电影,以高位移灵敏度(优于1微米)量化大脑运动。 我们建议使用这种技术来成像和量化剪切冲击波在体外和体内大脑中的传播。初步数据,显示首次,剪切冲击波在大脑中的传播。剪切冲击波的剧烈梯度可能会撕裂和损伤神经元,从而引起弥漫性轴突损伤。我们建议的非线性特性的大脑和开发剪切冲击波在大脑中传播的非线性模拟。我们建议动物实验结合组织学分析,以建立这些快速事件和损伤之间的联系。我们提出模拟结合头部加速度的测量来预测受伤和脑震荡。如果成功,这项研究可以改变我们对大脑创伤机制的看法,并应用于身体任何部位的创伤。
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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Gianmarco Pinton其他文献
Gianmarco Pinton的其他文献
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{{ truncateString('Gianmarco Pinton', 18)}}的其他基金
Lung-specific ultrasound beamforming for diagnostic imaging
用于诊断成像的肺部特异性超声波束形成
- 批准号:
10673127 - 财政年份:2022
- 资助金额:
$ 31.36万 - 项目类别:
Lung-specific ultrasound beamforming for diagnostic imaging
用于诊断成像的肺部特异性超声波束形成
- 批准号:
10440831 - 财政年份:2022
- 资助金额:
$ 31.36万 - 项目类别:
A machine learning ultrasound beamformer based on realistic wave physics for high body mass index imaging
基于真实波物理学的机器学习超声波束形成器,用于高体重指数成像
- 批准号:
10595030 - 财政年份:2021
- 资助金额:
$ 31.36万 - 项目类别:
A machine learning ultrasound beamformer based on realistic wave physics for high body mass index imaging
基于真实波物理学的机器学习超声波束形成器,用于高体重指数成像
- 批准号:
10435438 - 财政年份:2021
- 资助金额:
$ 31.36万 - 项目类别:
Shear shock wave propagation in the brain: high frame-rate ultrasound imaging, characterization, and simulations
剪切冲击波在大脑中的传播:高帧率超声成像、表征和模拟
- 批准号:
8863091 - 财政年份:2015
- 资助金额:
$ 31.36万 - 项目类别:
Shear shock wave propagation in the brain: high frame-rate ultrasound imaging, characterization, and simulations
剪切冲击波在大脑中的传播:高帧率超声成像、表征和模拟
- 批准号:
9253438 - 财政年份:2015
- 资助金额:
$ 31.36万 - 项目类别:
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