A versatile imaging system for multi-parametric real-time analysis of material properties

用于材料特性多参数实时分析的多功能成像系统

• 批准号: RTI-2019-00054
• 负责人: Abolmaesumi, Purang
• 金额: $ 10.51万
• 依托单位: University of British Columbia
• 依托单位国家: 加拿大
• 项目类别: Research Tools and Instruments
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=643357
• 关键词: versatile; imaging; system; multi; parametric

Real-time imaging modalities, supported by computational analysis, have revolutionized characterization of defects in materials during the past decade. In particular, ultrasound imaging, a portable, non-ionizing and affordable modality has enabled real-time visualization of material properties for the purposes of accurate characterization of tissue and detection of defects in manufacturing processes. Contemporary ultrasound imaging technology has been shown to be very effective to characterize material properties at a coarse scale. At the same time, existing ultrasound technology is unable to identify subtle changes in material substructure, which is essential to imaging complex structures with high resolution to identify defects.***Through this RTI application, we bring together a group of investigators from engineering, manufacturing and clinical sciences to enable real-time analysis of material properties using ultrasound data. The requested instrument contains a unique multi-parametric ultrasound machine from BK Ultrasound that includes the integration of the latest generation of beam forming and imaging algorithms with an open access flexible back-end architecture providing imaging parameters and streamed ultrasound data. The requested infrastructure will narrow the gap between research and commercialization, accelerating the impact of our research. Specifically, we will render real-time structural information from ultrasound at an unprecedented resolution using adaptive beamforming. We will also develop solutions to detect subtle manufacturing defects well below the ultrasound imaging wavelength enabled by an invention of the applicants in ultrasound imaging. Research will also include integration of machine learning with real-time imaging to develop next generation computational ultrasound technology. The availability of the requested system will open many new lines of investigation and ignite transformative changes across the entire spectrum of ultrasound research program. The applicant team has a large funding portfolio in this area and the proposed hardware will leverage existing research funding, accelerate progress and increase our productivity in translation of engineering results to practical use. The requested ultrasound system is unique, given a proprietary arrangement with BK Ultrasound, and will enable the research team to explore the frontiers in their respective areas. The system will act as a point of collaboration between many disciplines. The proposed equipment will play a critical role in interdisciplinary training of more than 20 HQP. HQP will gain an in depth understanding of ultrasound technologies and skills in image and signal processing and machine learning, which are highly sought after in industry and academia.**

在过去的十年中，由计算分析支持的实时成像模式已经彻底改变了材料缺陷的表征。特别是，超声成像是一种便携式、非电离且经济实惠的模式，可以实时可视化材料特性，以便准确表征组织并检测制造过程中的缺陷。当代超声成像技术已被证明是非常有效的表征材料的性质在一个粗略的规模。与此同时，现有的超声技术无法识别材料子结构的细微变化，而这对于以高分辨率成像复杂结构以识别缺陷至关重要。通过这个RTI应用程序，我们汇集了一组来自工程，制造和临床科学的研究人员，以便使用超声数据实时分析材料特性。申请的仪器包含BK Ultrasound的独特多参数超声机，包括最新一代波束形成和成像算法与开放访问灵活的后端架构的集成，提供成像参数和流式超声数据。所要求的基础设施将缩小研究和商业化之间的差距，加速我们研究的影响。具体来说，我们将使用自适应波束形成以前所未有的分辨率从超声中呈现实时结构信息。我们还将开发解决方案，以检测远低于超声成像波长的细微制造缺陷，这是申请人在超声成像方面的发明所实现的。研究还将包括机器学习与实时成像的集成，以开发下一代计算超声技术。所要求的系统的可用性将开辟许多新的研究领域，并在整个超声研究计划中引发变革。申请人团队在这一领域拥有大量资金组合，拟议的硬件将利用现有的研究资金，加快进度，并提高我们将工程成果转化为实际应用的生产力。所要求的超声系统是独一无二的，与BK Ultrasound达成了专有协议，将使研究团队能够探索各自领域的前沿。该系统将作为许多学科之间的合作点。拟议的设备将在20多名HQP的跨学科培训中发挥关键作用。HQP将深入了解超声技术以及图像和信号处理和机器学习方面的技能，这些技术在工业和学术界都备受追捧。