Point-of-Care Carotid Ultrasound and Cardiovascular Risk Assessment Device

护理点颈动脉超声和心血管风险评估装置

• 批准号: 8455104
• 负责人: William F Weitzel
• 金额: $ 19.88万
• 依托单位: ARBOR ULTRASOUND TECHNOLOGIES, LLC
• 依托单位国家: 美国
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-02-01 至 2014-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8455104
• 关键词: Algorithms; Anatomy; Architecture; Area; Blood Vessels; Blood flow; Caliber; Cardiovascular system; Caring; Carotid Arteries; Carotid Stenosis; Clinical; Communities; Consensus; Dependence; Detection; Development; Devices; Diagnostic; Digital Signal Processing; Distributed Systems; Elasticity; Electromagnetics; Electronics; Evaluation; Feedback; Generations; Grant; Guidelines; Hand; Image; Imagery; Magnetism; Marketing; Measurement; Measures; Medical; Medicine; Methods; Metric; Michigan; Motion; National Heart, Lung, and Blood Institute; Nurses; Patient Care; Performance; Phase; Physicians; Physiologic pulse; Point-of-Care Systems; Positioning Attribute; Price; Process; Production; Provider; Research; Research Personnel; Research Project Grants; Risk Assessment; Scanning; Side; Signal Transduction; Stenosis; Structure; System; Techniques; Technology; Testing; Thick; Three-Dimensional Image; Time; Transducers; Translational Research; Ultrasonography; United States National Institutes of Health; Universities; Width; Wireless Technology; analog; base; cardiovascular risk factor; clinical application; computerized data processing; cost; data acquisition; design; digital; effectiveness measure; engineering design; image processing; improved; innovation; intima media; meetings; miniaturize; novel; point of care; prototype; public health relevance; radiofrequency; sensor; success; tool

DESCRIPTION (provided by applicant): This proposal describes a novel, low-cost, high-performance compact carotid ultrasound imaging system to meet the clinical point-of-care needs for stenosis assessment based upon consensus practice criteria guidelines. At the same time, this system will meet the growing need for advanced cardiovascular (CV) risk assessment. This research integrates proven fundamental techniques with modern technology. The proposed device revisits standard ultrasound measurement techniques, but significantly improves on them. These improvements are achieved by using an innovative engineering design, accurate track and hold front-end, low-cost analog to digital converters, and an innovative electro-magnetic transducer drive system and distributed signal processing architecture to realize a high performance carotid imager at low manufacturing cost. Building upon the success of an NIH sponsored translational research project to make an ultrasound smart sensor (NHLBI grant 5RC1HL101881, William Weitzel, PI) and leveraging our proprietary radiofrequency (RF) ultrasound speckle tracking algorithms, we will develop application specific 3D measurement tools for the carotid artery. We leverage modern, miniaturized reconfigurable electronic components and high bandwidth wireless technology, to integrate low-level ultrasound signal generation, acquisition and pre-processing in the transducer-display module and then distribute (remotely perform) the higher-level signal processing, image construction and image processing. We build upon our current system hardware architecture to: 1) extend data acquisition into 3D meeting the point-of-care needs for carotid stenosis assessment, 2) develop server side system algorithms for improved operator independent measurements of stenosis using advanced signal processing and RF tracking, and 3) expand diagnostic capabilities for CV risk assessment by leveraging our technical advantages for accurately measuring carotid distensability using our innovative platform.

描述（由申请人提供）：该提案描述了一种新型，低成本，高性能的紧凑型颈动脉超声成像系统，以满足基于共识实践标准指南的狭窄评估的临床保健需求。同时，该系统将满足对高级心血管（CV）风险评估的日益增长的需求。这项研究将验证的基本技术与现代技术融合在一起。提出的设备重新审视了标准的超声测量技术，但对它们有显着改进。这些改进是通过使用创新的工程设计，准确的轨道并保持前端，对数字转换器的低成本类似物以及创新的电磁传感器驱动系统和分布式信号处理体系结构来实现的，以实现低制造成本的高性能Carotid Imager。基于NIH赞助的转化研究项目的成功，以制造超声智能传感器（NHLBI授予5RC1HL101881，William Weitzel，PI），并利用我们的专有射频（RF）Ultrasound Speckle Speckle跟踪跟踪算法，我们将开发特定的3D测量工具，以适用于CarotId artery。我们利用现代，微型的可重新配置电子组件和高带宽无线技术，以在传感器显示模块中整合低级超声的产生，获取和预处理，然后分发（远程执行）高级信号处理，图像构建和图像处理。我们以当前系统硬件体系结构为基础：1）将数据获取扩展到满足颈动脉狭窄评估的护理点需求，2）开发服务器侧系统算法，以改善使用高级信号处理和RF跟踪的高级信号处理和3）使用CV风险进行诊断的能力来改进狭窄的狭窄测量。