Big Data analytics for next generation mobile ultrasound

下一代移动超声的大数据分析

• 批准号: 506287-2017
• 负责人: Abolmaesumi, Purang
• 金额: $ 17.59万
• 依托单位: University of British Columbia
• 依托单位国家: 加拿大
• 项目类别: Strategic Projects - Group
• 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=643359
• 关键词: Big; Data; analytics; next; generation

Currently, the view of ultrasound (US) scanners is outdated as a phone attached to a kitchen wall, i.e., large, bulky, and of limited use. In the next 5-10 years, US scanners will be portable, similar to smartphones, and US data will be used in numerous healthcare situations. The analogy to smartphones is apt with advances in miniaturization and smart apps based on machine learning with Big Data will transform US into an essential, portable tool, useful for numerous novel applications.** Our collaboration with Clarius Mobile Health, a BC-based leader in mobile US technology, will fast track transformation of US, thus, making this vision a reality to benefit US imaging technology growth. Our innovative solutions are designed to engineer novel large data analytics tools to manipulate heterogeneous, sparse data of variable resolution and quality. The solutions are specifically suitable for situations where access to accurate quantitative measures as gold-standard is limited and costly. Our immediate project results will impact the field of mobile US for cardiology diagnosis to improve image quality at point-of-care, automate anatomical recognition, and generation of initial, smart, diagnostic reports. In the longer term, we will build an ecosystem of smart analytics tools for numerous other applications of US, e.g., anesthesia and cancer imaging.**We have the synergy to make Canada the world leader in smart mobile US and to translate the benefits to improve the Canadian US economy, e.g., specialized HQP training, and job creation. Our record of success, complimentary skills, extensive collaborations, and leadership will achieve this vision.** HQP trained in this project will gain necessary skills to meet the pressing needs of Canadian industry and academia. US has grow quickly to become the most common medical imaging method since it is fast, safe, and inexpensive. Smart US will span new horizons for this technology and will pave new ways to numerous technological advances in medical diagnostic automation, miniaturization, and improved resolution.********

目前，超声波（US）扫描仪的观点已经过时，因为电话连接到厨房墙壁上，即，体积大、体积大、用途有限。在未来5-10年内，美国的扫描仪将是便携式的，类似于智能手机，美国的数据将用于许多医疗保健情况。与智能手机的类比是恰当的，小型化和基于机器学习的智能应用程序与大数据将把我们转变为一个必不可少的便携式工具，对许多新的应用程序有用。 我们与位于不列颠哥伦比亚省的美国移动的技术领导者Clarius移动的Health的合作将加快美国的转型，从而使这一愿景成为现实，有利于美国成像技术的增长。我们的创新解决方案旨在设计新颖的大数据分析工具，以处理不同分辨率和质量的异构稀疏数据。这些解决方案特别适用于获得作为黄金标准的准确量化指标的机会有限且成本高昂的情况。我们近期的项目结果将影响心脏病学诊断的移动的US领域，以提高床旁图像质量、自动解剖识别以及生成初始智能诊断报告。从长远来看，我们将为美国的许多其他应用建立一个智能分析工具生态系统，例如，麻醉和癌症成像。我们有协同作用，使加拿大成为世界领先的智能移动的美国，并转化的好处，以改善加拿大美国的经济，例如，专门的HQP培训和创造就业机会。我们的成功记录、互补技能、广泛的合作和领导力将实现这一愿景。** 在这个项目中培训的HQP将获得必要的技能，以满足加拿大工业和学术界的迫切需要。US已迅速发展成为最常见的医学成像方法，因为它快速，安全和廉价。Smart US将为这项技术开辟新的视野，并为医疗诊断自动化、小型化和提高分辨率方面的众多技术进步铺平新的道路。