In Vivo Photoactoustic Sensing of Lipid Laden Plaque
脂质斑块的体内光声传感
基本信息
- 批准号:9114157
- 负责人:
- 金额:$ 47.82万
- 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:2015-08-01 至 2017-05-31
- 项目状态:已结题
- 来源:
- 关键词:3-DimensionalAcute myocardial infarctionAlgorithmsAngiographyAreaArterial Fatty StreakArteriesArteriogramArtsAtherogenic DietAtherosclerosisAutopsyBloodBlood VesselsBlood flowCaliberCaliforniaCardiovascular systemCathetersChemicalsCholesterolCholesterol EstersClassificationClinicClinicalCollagenCoronaryCoronary ArteriosclerosisCoronary StenosisCoronary arteryDetectionDevelopmentDevicesDiagnosisDoctor of MedicineEstersFamily suidaeFrequenciesGoalsHealthHistologicHistologyHumanImageImageryImaging DeviceImaging PhantomsIn VitroIndianaInflammationInflammatoryLasersLateralLengthLifeLipidsMeasurementMeasuresMedicalMicroscopyModalityModelingMonitorMorphologic artifactsNear-Infrared SpectroscopyOptical Coherence TomographyOpticsPatientsPerformancePhysiciansPositioning AttributeProceduresReal-Time SystemsResearchResolutionRoentgen RaysRotationRuptureSignal TransductionSpeedStenosisStentsSurfaceSurgeonSystemTechnologyTestingTherapeuticTimeTissuesUltrasonic TransducerUltrasonographyUniversitiesbasecalcificationclinically relevantdata acquisitiondesignexperiencefeedingimaging systemimprovedin vivomedical schoolsminiaturizenovelphotoacoustic imagingradiofrequencysensorspectrographtoolvirtual
项目摘要
DESCRIPTION: In current medical treatment of atherosclerosis, a stent is placed for flow-limiting (i.e., >60% stenosis) plaques diagnosed by X-ray based angiography. Revascularization by stenting a flow-limiting coronary artery stenosis has profoundly improved survival. Plaque that is not flow-limiting and thus not stented, however, can be unstable and vulnerable to rupture, which is the major cause of acute myocardial infarction. Currently, no imaging tools exist to diagnose these non-flow-limiting yet potentially vulnerable plaques. The long-term goal of our project is to develop an intravascular vibrational photoacoustic (IVPA) catheter for clinica detection of vulnerable plaques. The objective of this R01 application is to demonstrate an IVPA system for real-time in vivo intravascular visualization of atherosclerotic plaque in a clinically relevant Ossabaw pig model. An interdisciplinary team has been assembled to approach this objective. Dr. Ji-Xin Cheng (Purdue University) is an expert in development and applications of vibrational spectral imaging. Dr. Michael Sturek (Indiana University School of Medicine) is an expert in cardiovascular research. Dr. Qifa Zhou (University of Southern California) is an expert in design and fabrication of ultrasound transducers. Consultant Art Coffey (M.D. in IU Health) is a cardiovascular surgeon who will provide clinical input on the IVPA catheter design. Our central hypothesis is that a high-speed IVPA system allows for in vivo assessment of lipid-rich, inflammatory plaques in an arterial wall. This hypothesis will be tested by 3 Specific Aims. (1) Develop a high-speed IVPA system and demonstrate real-time dual-modality PA/US sensing of an intact atherosclerotic artery in vitro. (2) Differentiate cholesterol crystal (CC) from cholesteol ester (CE)-rich lipid droplets inside an intact artery by spectral analysis of optically induced ultrasound signals. (3) Validate the IVPA system for in vivo assessment of atherosclerotic plaques in an Ossabaw swine model. Successful development of the IVPA system will be able to guide appropriate treatment, e.g. stent deployment, for the lipid-laden, unstable plaque that is
not detectable by current intravascular catheters, thus potentially a life-saving technology.
描述:在目前的动脉粥样硬化治疗中,将支架放置用于通过基于X射线的血管造影诊断的流动限制(即> 60%狭窄)。通过固定流动的冠状动脉狭窄通过置入血运重建,已深刻提高了生存率。然而,不限制且没有支架的斑块可能是不稳定的且容易受到破裂的损害,这是急性心肌违规的主要原因。当前,尚无成像工具来诊断这些非流量限制但潜在的易受伤害的斑块。我们项目的长期目标是开发用于易受伤害斑块的临床检测的血管内振动光声(IVPA)导管。该R01应用的目的是展示一个IVPA系统,用于实时在临床相关的Ossabaw Pig模型中动脉粥样硬化斑块的体内血管内可视化。一个跨学科的团队已被组装以实现这一目标。 Ji-Xin Cheng博士(普渡大学)是振动光谱成像的开发和应用专家。迈克尔·斯特雷克(Michael Sturek)博士(印第安纳大学医学院)是心血管研究的专家。 Qifa Zhou博士(南加州大学)是超声传感器设计和制造专家。顾问Art Coffey(IU Health医学博士)是一名心血管外科医生,他将提供有关IVPA导管设计的临床意见。我们的中心假设是,高速IVPA系统允许对动脉壁中富含脂质的炎症斑块进行体内评估。该假设将通过3个具体目标进行检验。 (1)开发一个高速IVPA系统,并在体外显示了完整动脉粥样硬化动脉的实时双模式PA/US传感器。 (2)通过光谱分析光学诱导的超声信号的光谱分析,将胆固醇晶体(CC)与胆汁硫醇酯(CE) - 富含脂质的脂肪分化。 (3)验证IVPA系统在Ossabaw Swine模型中对动脉粥样硬化斑块的体内评估。 IVPA系统的成功开发将能够指导适当的治疗,例如支架部署,用于富含脂质的,不稳定的斑块
目前的血管内导管无法检测到,因此可能是一种挽救生命的技术。
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)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Ji-Xin Cheng其他文献
Ji-Xin Cheng的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Ji-Xin Cheng', 18)}}的其他基金
2023 Chemical Imaging Gordon Research Conferences
2023 年化学成像戈登研究会议
- 批准号:
10605394 - 财政年份:2023
- 资助金额:
$ 47.82万 - 项目类别:
Sub-millimeter precision wireless neuromodulation using a microwave split ring resonator
使用微波开口环谐振器的亚毫米精度无线神经调节
- 批准号:
10669784 - 财政年份:2022
- 资助金额:
$ 47.82万 - 项目类别:
High-content High-speed Chemical Imaging of Metabolic Reprogramming by Integration of Advanced Instrumentation and Data Science
通过先进仪器和数据科学的集成进行代谢重编程的高内涵高速化学成像
- 批准号:
10543185 - 财政年份:2022
- 资助金额:
$ 47.82万 - 项目类别:
Sub-millimeter precision wireless neuromodulation using a microwave split ring resonator
使用微波开口环谐振器的亚毫米精度无线神经调节
- 批准号:
10516429 - 财政年份:2022
- 资助金额:
$ 47.82万 - 项目类别:
High-content High-speed Chemical Imaging of Metabolic Reprogramming by Integration of Advanced Instrumentation and Data Science
通过先进仪器和数据科学的集成进行代谢重编程的高内涵高速化学成像
- 批准号:
10344774 - 财政年份:2022
- 资助金额:
$ 47.82万 - 项目类别:
Mapping Cancer Metabolism by Mid-infrared Photothermal Microscopy
通过中红外光热显微镜绘制癌症代谢图
- 批准号:
10491322 - 财政年份:2021
- 资助金额:
$ 47.82万 - 项目类别:
Mapping Cancer Metabolism by Mid-infrared Photothermal Microscopy
通过中红外光热显微镜绘制癌症代谢图
- 批准号:
10271761 - 财政年份:2021
- 资助金额:
$ 47.82万 - 项目类别:
Mapping Cancer Metabolism by Mid-infrared Photothermal Microscopy
通过中红外光热显微镜绘制癌症代谢图
- 批准号:
10675665 - 财政年份:2021
- 资助金额:
$ 47.82万 - 项目类别:
Vibrational Spectroscopic Imaging to Unveil Hidden Signatures in Living Systems
振动光谱成像揭示生命系统中隐藏的特征
- 批准号:
10206200 - 财政年份:2020
- 资助金额:
$ 47.82万 - 项目类别:
Vibrational Spectroscopic Imaging to Unveil Hidden Signatures in Living Systems
振动光谱成像揭示生命系统中隐藏的特征
- 批准号:
10660979 - 财政年份:2020
- 资助金额:
$ 47.82万 - 项目类别:
相似国自然基金
基于hemin-MOFs的急性心肌梗塞标志物负背景光电化学-比色双模分析
- 批准号:22304039
- 批准年份:2023
- 资助金额:30 万元
- 项目类别:青年科学基金项目
长链非编码RNA MIPRL在急性心肌梗塞中的作用及分子机制
- 批准号:81870275
- 批准年份:2018
- 资助金额:57.0 万元
- 项目类别:面上项目
Cdx2+胎盘干细胞移植治疗急性心肌梗塞的实验研究
- 批准号:81270281
- 批准年份:2012
- 资助金额:70.0 万元
- 项目类别:面上项目
LPA在急性心梗诱发心律失常中的作用及其电生理机制
- 批准号:81170163
- 批准年份:2011
- 资助金额:14.0 万元
- 项目类别:面上项目
心肌缺氧/再灌注与细胞移植多功能集成微流控芯片模型构建及应用
- 批准号:21175107
- 批准年份:2011
- 资助金额:60.0 万元
- 项目类别:面上项目
相似海外基金
Motion-Resistant Background Subtraction Angiography with Deep Learning: Real-Time, Edge Hardware Implementation and Product Development
具有深度学习的抗运动背景减影血管造影:实时、边缘硬件实施和产品开发
- 批准号:
10602275 - 财政年份:2023
- 资助金额:
$ 47.82万 - 项目类别:
Super Resolution Ultrasound Imaging of Vasa Vasorum to Characterize the Progression of Atherosclerotic Plaques and Predict Rupture Vulnerability
血管超分辨率超声成像可表征动脉粥样硬化斑块的进展并预测破裂脆弱性
- 批准号:
10557917 - 财政年份:2022
- 资助金额:
$ 47.82万 - 项目类别:
Super Resolution Ultrasound Imaging of Vasa Vasorum to Characterize the Progression of Atherosclerotic Plaques and Predict Rupture Vulnerability
血管超分辨率超声成像可表征动脉粥样硬化斑块的进展并预测破裂脆弱性
- 批准号:
10374343 - 财政年份:2022
- 资助金额:
$ 47.82万 - 项目类别:
Deep Learning-based Framework for Segmentation and Motion Tracking of Left Ventricle in 3D Echocardiography
基于深度学习的 3D 超声心动图左心室分割和运动跟踪框架
- 批准号:
10666687 - 财政年份:2021
- 资助金额:
$ 47.82万 - 项目类别:
Deep Learning-based Framework for Segmentation and Motion Tracking of Left Ventricle in 3D Echocardiography
基于深度学习的 3D 超声心动图左心室分割和运动跟踪框架
- 批准号:
10563111 - 财政年份:2021
- 资助金额:
$ 47.82万 - 项目类别: