Vulnerable Plaque Detection with Carotid Strain Imaging
通过颈动脉应变成像检测易损斑块
基本信息
- 批准号:7937996
- 负责人:
- 金额:$ 18.38万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2009
- 资助国家:美国
- 起止时间:2009-09-30 至 2012-08-31
- 项目状态:已结题
- 来源:
- 关键词:AgeAlgorithmsArterial Fatty StreakArteriesBloodBlood CirculationBlood flowCardiacCarotid ArteriesCarotid Artery PlaquesCarotid EndarterectomyCerebrumChemicalsClinicalClinics and HospitalsControl GroupsCritiquesDataDetectionDiscriminationEmbolismGoalsGrantHealth Care CostsImageImageryLateralLesionLipidsLocationMeasurementMeasuresMechanicsMethodsMorphologic artifactsMyocardial InfarctionNoiseOperative Surgical ProceduresPathologyPatient SchedulesPatientsPhysiologicalPropertyResearchRiskRuptureScanningScreening procedureSenile PlaquesSignal TransductionSolutionsSourceStenosisStreamStressStrokeStructureTherapeutic EmbolizationThrombosisTimeTissuesTransient Ischemic AttackUltrasonographyValidationbasehuman subjectimprovedin vivoindexinginformation displaymarkov modelnovel strategiespressureprogramspublic health relevanceradiofrequencyreconstructionresponsetoolvectorvolunteer
项目摘要
DESCRIPTION (provided by applicant): Current clinical criteria for treatment of atherosclerotic plaque or atheromas, has focused primarily on percent stenosis of the vessel. However, percent stenosis does not identify plaque prone to rupture that may release emboli into the blood stream of the sensitive cerebral vasculature. These 'vulnerable' plaques are particularly prone to produce sudden major problems, such as a heart attack or stroke. Atheromas become vulnerable if they grow rapidly and have only a thin fibrous cap separating the soft lipid pool and other plaque constituents from the bloodstream. Structural stability of carotid plaque is a result of its chemical composition, cellular material and new vessel formation. Various studies have indicated that pulsatile pressure induced due to blood flow may rupture the thin cap overlying lipid rich lesions, leading to subsequent thrombosis and plaque rupture. Plaque vulnerability is therefore determined primarily by the mechanical (elastic) properties of the vessel wall and plaque composition. Ultrasound-based strain imaging can provide a means of identifying vulnerable plaque. A novel approach to strain imaging, where pulsation of blood through the carotid artery is used to induce tissue displacements for strain imaging, will be developed and evaluated. We propose the use of three 'strain indices' namely; maximum accumulated axial strain, maximum lateral displacement and strain, and shear strains in plaque over the cardiac cycle as measures of plaque vulnerability. To obtain the normal and shear strain tensors, we propose to utilize beam-steered radiofrequency data acquired along different angular insonification directions to compute the displacement vectors and subsequently the strain tensors. We will also incorporate a modified dynamic 2D multi-level cross-correlation method to track local displacements with the angular data acquired. Our preliminary results demonstrate the ability to differentiate between soft and stiffer plaque noninvasively. The long term objectives are to provide a non-invasive measurement of patients at risk for plaque rupture, expanding upon the current criteria for treatment for atherosclerotic risk based on focal transient ischemic attacks or strokes. The limited in-vivo study on patients will be complimented by a similar analysis on a control group of age-matched volunteers to determine the significance of the 'strain indices' for discrimination of vulnerable plaque. Finally, the entire excised plaque core following carotid endarterectomy will be further evaluated using histological analysis at the same in-vivo transverse cross-sections (based on measurements from the flow- divider) where strain imaging was performed to better understand plaque composition and structure (along with microulcerations and neovascularity) to the information displayed on the normal and shear strain images.
PUBLIC HEALTH RELEVANCE: Ultrasound-based strain imaging can provide a means of identifying vulnerable plaque. A novel approach to strain imaging, where pulsation of blood through the carotid artery is used to induce tissue displacements for strain imaging, will be developed and evaluated. One of the goals of this research is to help determine patients at risk for stroke, while excluding patients with manageable risk from undergoing surgery, both of which would dramatically reduce healthcare costs.
描述(由申请人提供):目前治疗动脉粥样硬化斑块或动脉粥样硬化的临床标准主要关注血管狭窄百分比。然而,狭窄百分比不能识别易于破裂的斑块,其可能将栓子释放到敏感的脑血管系统的血流中。这些“脆弱”的斑块特别容易产生突发性的重大问题,如心脏病发作或中风。如果动脉粥样硬化生长迅速,并且只有一层薄薄的纤维帽将软脂质池和其他斑块成分与血流隔开,那么动脉粥样硬化就变得脆弱。颈动脉斑块的结构稳定性是其化学成分、细胞物质和新血管形成的结果。各种研究表明,由于血流引起的脉动压力可能会使覆盖在富含脂质病变上的薄帽破裂,导致随后的血栓形成和斑块破裂。因此,斑块易损性主要由血管壁和斑块组成的机械(弹性)性质决定。 基于超声的应变成像可以提供一种识别易损斑块的方法。一种新的应变成像方法,其中通过颈动脉的血液脉动是用来诱导应变成像的组织位移,将开发和评估。我们建议使用三个“应变指数”,即:最大累积轴向应变,最大侧向位移和应变,剪切应变斑块在心动周期的斑块脆弱性的措施。为了获得法向和剪切应变张量,我们建议利用沿沿着不同角度声穿透方向采集的波束操纵射频数据来计算位移向量,随后计算应变张量。我们还将采用一种改进的动态2D多级互相关方法来跟踪局部位移与角度数据采集。我们的初步结果表明,能够区分软和硬斑块非侵入性。长期目标是提供斑块破裂风险患者的非侵入性测量,扩展基于局灶性短暂性脑缺血发作或中风的动脉粥样硬化风险治疗的当前标准。对患者的有限体内研究将通过对年龄匹配的志愿者对照组进行类似的分析来补充,以确定“应变指数”对易损斑块的区分的意义。 最后,将在相同的体内横截面(基于分流器的测量值)上使用组织学分析进一步评价颈动脉内膜切除术后的整个切除斑块核心,其中进行应变成像以更好地了解斑块组成和结构(沿着微溃疡和新生血管)与正常和剪切应变图像上显示的信息。
公共卫生相关性:基于超声的应变成像可以提供一种识别易损斑块的方法。一种新的应变成像方法,其中通过颈动脉的血液脉动是用来诱导应变成像的组织位移,将开发和评估。这项研究的目标之一是帮助确定有中风风险的患者,同时排除风险可控的患者接受手术,这两者都将大大降低医疗成本。
项目成果
期刊论文数量(2)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
A review of carotid atherosclerosis and vascular cognitive decline: a new understanding of the keys to symptomology.
- DOI:10.1227/01.neu.0000371730.11404.36
- 发表时间:2010-08
- 期刊:
- 影响因子:4.8
- 作者:Dempsey RJ;Vemuganti R;Varghese T;Hermann BP
- 通讯作者:Hermann BP
{{
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 }}
TOMY VARGHESE其他文献
TOMY VARGHESE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('TOMY VARGHESE', 18)}}的其他基金
Early Detection of Vascular Dysfunction Using Biomarkers from Lagrangian Carotid Strain Imaging
使用拉格朗日颈动脉应变成像生物标志物早期检测血管功能障碍
- 批准号:
10442390 - 财政年份:2020
- 资助金额:
$ 18.38万 - 项目类别:
Early Detection of Vascular Dysfunction Using Biomarkers from Lagrangian Carotid Strain Imaging
使用拉格朗日颈动脉应变成像生物标志物早期检测血管功能障碍
- 批准号:
10214678 - 财政年份:2020
- 资助金额:
$ 18.38万 - 项目类别:
Early Detection of Vascular Dysfunction Using Biomarkers from Lagrangian Carotid Strain Imaging
使用拉格朗日颈动脉应变成像生物标志物早期检测血管功能障碍
- 批准号:
10653121 - 财政年份:2020
- 资助金额:
$ 18.38万 - 项目类别:
Early Detection of Vascular Dysfunction Using Biomarkers from Lagrangian Carotid
使用拉格朗日颈动脉生物标志物早期检测血管功能障碍
- 批准号:
10490566 - 财政年份:2020
- 资助金额:
$ 18.38万 - 项目类别:
Ultrasonic and Photoacoustic Imaging System for Cancer & Cardiovascular Research
癌症超声和光声成像系统
- 批准号:
8734742 - 财政年份:2015
- 资助金额:
$ 18.38万 - 项目类别:
Vulnerable Plaque Detection with Carotid Strain Imaging
通过颈动脉应变成像检测易损斑块
- 批准号:
7773096 - 财政年份:2009
- 资助金额:
$ 18.38万 - 项目类别:
Uterine In-vivo Strain Imaging Using Saline Infusion
使用盐水输注进行子宫体内应变成像
- 批准号:
7712733 - 财政年份:2009
- 资助金额:
$ 18.38万 - 项目类别:
相似海外基金
CAREER: Blessing of Nonconvexity in Machine Learning - Landscape Analysis and Efficient Algorithms
职业:机器学习中非凸性的祝福 - 景观分析和高效算法
- 批准号:
2337776 - 财政年份:2024
- 资助金额:
$ 18.38万 - 项目类别:
Continuing Grant
CAREER: From Dynamic Algorithms to Fast Optimization and Back
职业:从动态算法到快速优化并返回
- 批准号:
2338816 - 财政年份:2024
- 资助金额:
$ 18.38万 - 项目类别:
Continuing Grant
CAREER: Structured Minimax Optimization: Theory, Algorithms, and Applications in Robust Learning
职业:结构化极小极大优化:稳健学习中的理论、算法和应用
- 批准号:
2338846 - 财政年份:2024
- 资助金额:
$ 18.38万 - 项目类别:
Continuing Grant
CRII: SaTC: Reliable Hardware Architectures Against Side-Channel Attacks for Post-Quantum Cryptographic Algorithms
CRII:SaTC:针对后量子密码算法的侧通道攻击的可靠硬件架构
- 批准号:
2348261 - 财政年份:2024
- 资助金额:
$ 18.38万 - 项目类别:
Standard Grant
CRII: AF: The Impact of Knowledge on the Performance of Distributed Algorithms
CRII:AF:知识对分布式算法性能的影响
- 批准号:
2348346 - 财政年份:2024
- 资助金额:
$ 18.38万 - 项目类别:
Standard Grant
CRII: CSR: From Bloom Filters to Noise Reduction Streaming Algorithms
CRII:CSR:从布隆过滤器到降噪流算法
- 批准号:
2348457 - 财政年份:2024
- 资助金额:
$ 18.38万 - 项目类别:
Standard Grant
EAGER: Search-Accelerated Markov Chain Monte Carlo Algorithms for Bayesian Neural Networks and Trillion-Dimensional Problems
EAGER:贝叶斯神经网络和万亿维问题的搜索加速马尔可夫链蒙特卡罗算法
- 批准号:
2404989 - 财政年份:2024
- 资助金额:
$ 18.38万 - 项目类别:
Standard Grant
CAREER: Efficient Algorithms for Modern Computer Architecture
职业:现代计算机架构的高效算法
- 批准号:
2339310 - 财政年份:2024
- 资助金额:
$ 18.38万 - 项目类别:
Continuing Grant
CAREER: Improving Real-world Performance of AI Biosignal Algorithms
职业:提高人工智能生物信号算法的实际性能
- 批准号:
2339669 - 财政年份:2024
- 资助金额:
$ 18.38万 - 项目类别:
Continuing Grant
DMS-EPSRC: Asymptotic Analysis of Online Training Algorithms in Machine Learning: Recurrent, Graphical, and Deep Neural Networks
DMS-EPSRC:机器学习中在线训练算法的渐近分析:循环、图形和深度神经网络
- 批准号:
EP/Y029089/1 - 财政年份:2024
- 资助金额:
$ 18.38万 - 项目类别:
Research Grant














{{item.name}}会员




