Ultrasound Signal Processing for Quantitative Microvascular Imaging

用于定量微血管成像的超声信号处理

基本信息

  • 批准号:
    RGPIN-2017-04102
  • 负责人:
  • 金额:
    $ 2.04万
  • 依托单位:
  • 依托单位国家:
    加拿大
  • 项目类别:
    Discovery Grants Program - Individual
  • 财政年份:
    2020
  • 资助国家:
    加拿大
  • 起止时间:
    2020-01-01 至 2021-12-31
  • 项目状态:
    已结题

项目摘要

This Discovery Grant will support our research developing improved methods to use ultrasound to image blood flow in networks of small vessels. This research is important because current medical imaging technologies are not sufficiently effective for measuring the subtle changes in blood flow that can be the earliest evidence that a patient is or is not being helped by treatments for conditions such as cancer, cardiovascular disease, and diabetes. Our research will improve three important ultrasound technologies used for vascular imaging, namely power Doppler, ultrafast imaging, and contrast-enhanced ultrasound. Power Doppler is an inexpensive, widely available technology for imaging vessel networks, but the images are strongly affected by settings chosen by the operator of the ultrasound system. Our innovation is to automate the selection of some of those settings, which will improve the accuracy of comparisons among images of different patients or among images of an individual patient that are acquired on different days. Ultrafast imaging is a state-of-the-art Doppler method that improves imaging of the smallest vessels by allowing more measurements to be used to produce each image. Our lab is developing a new ultrafast technique named "spread-spectrum Doppler" that will maximize the number of blood-flow measurements made without reducing image quality. We also plan to combine spread-spectrum Doppler with our automated method for choosing scanner settings, which should increase the effectiveness of both techniques. Contrast-enhanced ultrasound uses microscopic bubbles to increase the signal strength from small vessels above the levels that are possible with Doppler. Our lab is developing new methods to statistically analyze contrast-enhanced ultrasound images with the goal of increasing the technique's sensitivity to changes in how well organized or disorganized a vessel network is, which is valuable information to obtain about vessel networks in cancer tumours and other diseased tissues. Our work is also expected to yield new insights into the physical relationships between the structure of blood vessel networks and the information contained in ultrasound images of those vessels that will be valuable to other medical imaging researchers. This research will provide training opportunities for undergraduate and graduate students in biomedical engineering, electrical engineering, and medical physics that will help prepare those students for industry or academic careers designing and developing medical devices.
这项发现补助金将支持我们的研究开发改进的方法,使用超声成像小血管网络中的血流。 这项研究很重要,因为目前的医学成像技术还不足以有效地测量血流的细微变化,而这些变化可能是患者是否得到癌症,心血管疾病和糖尿病等疾病治疗的最早证据。 我们的研究将改进用于血管成像的三种重要超声技术,即功率多普勒、超快成像和超声造影。 能量多普勒是一种廉价、广泛可用的血管网络成像技术,但图像受到超声系统操作员选择的设置的强烈影响。 我们的创新是自动选择其中的一些设置,这将提高不同患者的图像之间或在不同日期采集的单个患者的图像之间的比较的准确性。 超快成像是一种最先进的多普勒方法,通过允许使用更多的测量来生成每张图像,从而改善最小血管的成像。 我们的实验室正在开发一种名为“扩频多普勒”的新超快技术,该技术将在不降低图像质量的情况下最大限度地提高血流测量的数量。 我们还计划将联合收割机扩展频谱多普勒与我们选择扫描仪设置的自动化方法相结合,这将提高这两种技术的有效性。 对比增强超声使用微观气泡来增加来自小血管的信号强度,使其高于多普勒可能达到的水平。 我们的实验室正在开发新的方法来统计分析对比增强的超声图像,目的是提高该技术对血管网络组织或混乱程度变化的敏感性,这是获得有关癌症肿瘤和其他病变组织中血管网络的有价值信息。 我们的工作也有望产生新的见解,血管网络的结构和这些血管的超声图像中所包含的信息,这将是有价值的其他医学成像研究人员之间的物理关系。 这项研究将为生物医学工程、电气工程和医学物理学领域的本科生和研究生提供培训机会,帮助这些学生为设计和开发医疗设备的行业或学术职业做好准备。

项目成果

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Lacefield, James其他文献

Lacefield, James的其他文献

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{{ truncateString('Lacefield, James', 18)}}的其他基金

Ultrasound Signal Processing for Quantitative Microvascular Imaging
用于定量微血管成像的超声信号处理
  • 批准号:
    RGPIN-2017-04102
  • 财政年份:
    2021
  • 资助金额:
    $ 2.04万
  • 项目类别:
    Discovery Grants Program - Individual
Ultrasound Signal Processing for Quantitative Microvascular Imaging
用于定量微血管成像的超声信号处理
  • 批准号:
    RGPIN-2017-04102
  • 财政年份:
    2019
  • 资助金额:
    $ 2.04万
  • 项目类别:
    Discovery Grants Program - Individual
Ultrasound Signal Processing for Quantitative Microvascular Imaging
用于定量微血管成像的超声信号处理
  • 批准号:
    RGPIN-2017-04102
  • 财政年份:
    2018
  • 资助金额:
    $ 2.04万
  • 项目类别:
    Discovery Grants Program - Individual
Ultrasound Signal Processing for Quantitative Microvascular Imaging
用于定量微血管成像的超声信号处理
  • 批准号:
    RGPIN-2017-04102
  • 财政年份:
    2017
  • 资助金额:
    $ 2.04万
  • 项目类别:
    Discovery Grants Program - Individual
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
  • 财政年份:
    2016
  • 资助金额:
    $ 2.04万
  • 项目类别:
    Discovery Grants Program - Individual
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
  • 财政年份:
    2015
  • 资助金额:
    $ 2.04万
  • 项目类别:
    Discovery Grants Program - Individual
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
  • 财政年份:
    2014
  • 资助金额:
    $ 2.04万
  • 项目类别:
    Discovery Grants Program - Individual
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
  • 财政年份:
    2013
  • 资助金额:
    $ 2.04万
  • 项目类别:
    Discovery Grants Program - Individual
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
  • 财政年份:
    2012
  • 资助金额:
    $ 2.04万
  • 项目类别:
    Discovery Grants Program - Individual
Evaluation of high-resolution ultrasound imaging methods for quantification of tumour volume and vascularization
评估用于量化肿瘤体积和血管化的高分辨率超声成像方法
  • 批准号:
    430477-2012
  • 财政年份:
    2012
  • 资助金额:
    $ 2.04万
  • 项目类别:
    Engage Grants Program

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使用超声波和机器学习探测长骨:信号处理、模拟、反演和模式识别
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用于定量微血管成像的超声信号处理
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