课题基金 / 基金详情

Big Data analytics for next generation mobile ultrasound

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:
$13.9万
依托单位国家:
加拿大
项目类别:
Strategic Projects - Group
财政年份:
2019
资助国家:
加拿大
项目状态:
已结题
起止时间:
2019-01-01 至 2020-12-31

项目摘要

项目成果

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中文摘要
翻译
目前,超声波(US)扫描仪的观点是过时的,即连接在厨房墙上的电话,即大、笨重和有限的用途。在未来5-10年,美国扫描仪将是便携的,类似于智能手机,美国数据将用于许多医疗保健场合。与智能手机的类比恰如其分,小型化的进步和基于大数据机器学习的智能应用程序将把美国转变为一个基本的、便携的工具,对许多新的应用程序有用。我们与不列颠哥伦比亚州移动技术领先者Clarius Mobile 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发展。我们的创新解决方案旨在设计新的大数据分析工具,以处理不同分辨率和质量的异类稀疏数据。这些解决方案特别适用于作为黄金标准的准确量化衡量标准有限且成本高昂的情况。我们的立竿见影的项目成果将影响移动美国心脏病诊断领域,以提高护理点的图像质量,自动化解剖识别,并生成初始的、智能的诊断报告。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。我们拥有协同效应,使加拿大成为智能移动美国的世界领先者,并转化为改善加拿大美国经济的好处,例如专门的HQP培训和创造就业机会。我们的成功记录、互补的技能、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,以满足加拿大工业界和学术界的迫切需求。美国已经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。智能美国将为这项技术开辟新的天地,并将为医疗诊断自动化、小型化和提高分辨率方面的众多技术进步铺平新的道路。
英文摘要
Currently, the view of ultrasound (US) scanners is outdated as a phone attached to a kitchen wall, i.e., large, bulky, and of limited use.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.
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Towards New Frontiers in Computer Assisted Image Guidance with Next Generation Point of Care Ultrasound
  • 批准号:
    RGPIN-2018-03844
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $9.32万
  • 财政年份:
    2022
  • 负责人:
    Abolmaesumi, Purang
  • 依托单位:
Next generation machine learning technologies for democratizing healthcare through point of care ultrasound
  • 批准号:
    556820-2020
  • 项目类别:
    Alliance Grants
  • 资助金额:
    $7.21万
  • 财政年份:
    2021
  • 负责人:
    Abolmaesumi, Purang
  • 依托单位:
Rising from the pandemic: Towards sustainable development of machine learning technologies for point-of-care Ultrasound Imaging
  • 批准号:
    570487-2021
  • 项目类别:
    Alliance Grants
  • 资助金额:
    $20.69万
  • 财政年份:
    2021
  • 负责人:
    Abolmaesumi, Purang
  • 依托单位:
Towards New Frontiers in Computer Assisted Image Guidance with Next Generation Point of Care Ultrasound
  • 批准号:
    RGPIN-2018-03844
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $4.66万
  • 财政年份:
    2021
  • 负责人:
    Abolmaesumi, Purang
  • 依托单位:
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
  • 批准号:
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  • 项目类别:
    --
  • 资助金额:
    40万元
  • 批准年份:
    2020
  • 负责人:
    Vikrant Gupta
  • 依托单位:
基于Linked Open Data的Web服务语义互操作关键技术
  • 批准号:
    61373035
  • 项目类别:
    面上项目
  • 资助金额:
    77.0万元
  • 批准年份:
    2013
  • 负责人:
    冯志勇
  • 依托单位: