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Automated Optimization of Doppler Ultrasound Acquisition Parameters for Quantitative Vascular Imaging

Automated Optimization of Doppler Ultrasound Acquisition Parameters for Quantitative Vascular Imaging
用于定量血管成像的多普勒超声采集参数的自动优化
批准号:
261323-2012
负责人:
Lacefield, James
金额:
$1.53万
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2014
资助国家:
加拿大
项目状态:
已结题
起止时间:
2014-01-01 至 2015-12-31

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中文摘要
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英文摘要
The invention of laptop-computer-sized portable ultrasound systems is one of the most significant advances in ultrasound imaging technology over the past decade. Portable ultrasound scanners are used to improve health-care delivery in remote and low-resource settings where hospital-based medical equipment is often inaccessible. The users of these scanners usually have less ultrasound experience and less time available to adjust the scanner's controls than would a hospital-based ultrasound technician. Therefore, simplified controls are critically needed for portable ultrasound systems, especially for Doppler blood-flow imaging, which requires the user to choose a relatively large number of settings on the scanner. Our research program will address this problem by building upon our team's recent invention of an automatic method to tune the control settings of Doppler ultrasound scanners. The method has been demonstrated thus far by imaging flow in an idealized physical model of a vessel network. The goals of the proposed research are to (1) strengthen the theoretical foundation of our Doppler tuning method to enable it to perform reliably under the more challenging flow conditions encountered in live subjects, (2) improve our software implementation of the method to prepare it to operate onboard clinically used ultrasound scanners, and (3) extend the method so it can be applied to additional ultrasonic and optical Doppler blood-flow imaging technologies. The proposed research will produce software versions of our Doppler tuning method that are ready for commercialization. The Discovery Grant also will provide specialized training in Doppler imaging technology for at least three graduate and one undergraduate students in engineering or medical physics during each year of the research program.
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Ultrasound Signal Processing for Quantitative Microvascular Imaging
  • 批准号:
    RGPIN-2017-04102
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $4.08万
  • 财政年份:
    2021
  • 负责人:
    Lacefield, James
  • 依托单位:
Ultrasound Signal Processing for Quantitative Microvascular Imaging
  • 批准号:
    RGPIN-2017-04102
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.04万
  • 财政年份:
    2020
  • 负责人:
    Lacefield, James
  • 依托单位:
Ultrasound Signal Processing for Quantitative Microvascular Imaging
  • 批准号:
    RGPIN-2017-04102
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.04万
  • 财政年份:
    2019
  • 负责人:
    Lacefield, James
  • 依托单位:
Ultrasound Signal Processing for Quantitative Microvascular Imaging
  • 批准号:
    RGPIN-2017-04102
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.04万
  • 财政年份:
    2018
  • 负责人:
    Lacefield, James
  • 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
供应链管理中的稳健型(Robust)策略分析和稳健型优化(Robust Optimization )方法研究
  • 批准号:
    70601028
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    7.0万元
  • 批准年份:
    2006
  • 负责人:
    王明征
  • 依托单位: