Development of super resolution ultrasound for detecting microcalcifications

开发用于检测微钙化的超分辨率超声

基本信息

项目摘要

Project Summary Abundant research demonstrates that early detection of cancer leads to improved patient prognosis. By detecting cancer earlier, when tumors are in their primary stages, treatment can be applied before metastases have occurred. The presence of microcalcifications (MCs) is indicative of malignancy in the breast and improving the ability to detect MCs with modern imaging technology remains an open question. The presence of MCs is associated with presence of cancer in the breast, i.e., 30-50% of all nonpalpable breast cancers detected using mammograms are based on identifying the presence of MCs. Therefore, improving the sensitivity of imaging techniques to detect MCs in the breast will provide an important role for the early detection and diagnosis of breast cancer. Recently, we developed a novel nonlinear beamforming technology for ultrasonic arrays that provides super resolution of ultrasonic images (up to 25 times improvements in resolution). The beamforming technique, called null subtraction imaging (NSI), utilizes nulls in the beam pattern to create images using ultrasound. Lateral resolution gains provided by NSI are accompanied by a reduction in side lobes present in all beam patterns and increases in the signal-to-noise ratio (SNR). Ultrasonic images constructed with NSI result in suppression of speckle artifacts and an intensification of singular targets. Therefore, we hypothesize that NSI imaging will perform well for the specific imaging task of detection of MCs in tissues. We will develop and validate NSI for imaging and detecting MCs in an animal model of breast cancer through two aims. In the first aim we will quantify the ability of NSI to detect MCs in an animal model compared to conventional ultrasonic and X-ray imaging techniques. We hypothesize that the use of NSI will result in a quantifiably improved detection of MCs in animal models compared to conventional ultrasound approaches and X-ray imaging. Conventional ultrasound approaches use delay and sum to do beam formation and can use different signal processing tools to improve MC detection. Conventional ultrasound B-mode imaging, NSI imaging and X-ray CT will be used to detect MCs in a rat model of breast cancer and their detection performance (sensitivity and specificity) will be compared. In the second aim we will develop and validate approaches on receive to increase the density of scan lines when using NSI. We hypothesize that the scan line density can be sufficiently increased using NSI without physically translating the transducer. Because the imaging beam associated with NSI is so narrow, conventional linear sequential scanning techniques that translate a beam at each step by one pitch cause spaces between the beams that are not interrogated. To ensure that no tissue region is missed during scanning, it is necessary to increase the density of beams interrogating tissue. This can be accomplished on receive by using conventional methods to increase scan line density, i.e., interpolation or gird focusing.
项目总结

项目成果

期刊论文数量(2)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Effects of acoustic nonlinearity on pulse-echo attenuation coefficient estimation from tissue-mimicking phantoms.
声学非线性对模仿组织模型的脉冲回波衰减系数估计的影响。
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Michael L. Oelze其他文献

Detection and localization of small metastatic foci in human lymph nodes using three-dimensional high-frequency quantitative ultrasound methods
使用三维高频定量超声方法检测和定位人体淋巴结中的小转移灶
  • DOI:
  • 发表时间:
    2011
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Jonathan Mamou;Emi Saegusa-Beecroft;Alain Coron;Michael L. Oelze;Masaki Hata;Junji Machi;Eugene Yanagihara;Pascal Laugier;Tadashi Yamaguchi;Ernest J. Feleppa
  • 通讯作者:
    Ernest J. Feleppa
Low-frequency sound wave parameter measurement in gravels
  • DOI:
    10.1016/j.apacoust.2009.07.003
  • 发表时间:
    2010-01-01
  • 期刊:
  • 影响因子:
  • 作者:
    George W. Swenson;Michael J. White;Michael L. Oelze
  • 通讯作者:
    Michael L. Oelze

Michael L. Oelze的其他文献

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{{ truncateString('Michael L. Oelze', 18)}}的其他基金

2022 In Vivo Ultrasound Imaging Gordon Research Conference
2022 体内超声成像戈登研究会议
  • 批准号:
    10535954
  • 财政年份:
    2022
  • 资助金额:
    $ 18.87万
  • 项目类别:
Development of radiological clips having ultrasound identification
具有超声识别功能的放射线夹的研制
  • 批准号:
    10493425
  • 财政年份:
    2021
  • 资助金额:
    $ 18.87万
  • 项目类别:
Development of radiological clips having ultrasound identification
具有超声识别功能的放射线夹的研制
  • 批准号:
    10365578
  • 财政年份:
    2021
  • 资助金额:
    $ 18.87万
  • 项目类别:
Use of Radiological Clips for Improving Quantitative Ultrasound Imaging
使用放射夹改善定量超声成像
  • 批准号:
    10202531
  • 财政年份:
    2020
  • 资助金额:
    $ 18.87万
  • 项目类别:
Use of Radiological Clips for Improving Quantitative Ultrasound Imaging
使用放射夹改善定量超声成像
  • 批准号:
    10615670
  • 财政年份:
    2020
  • 资助金额:
    $ 18.87万
  • 项目类别:
Use of Radiological Clips for Improving Quantitative Ultrasound Imaging
使用放射夹改善定量超声成像
  • 批准号:
    10400728
  • 财政年份:
    2020
  • 资助金额:
    $ 18.87万
  • 项目类别:
Use of Radiological Clips for Improving Quantitative Ultrasound Imaging
使用放射夹改善定量超声成像
  • 批准号:
    10029562
  • 财政年份:
    2020
  • 资助金额:
    $ 18.87万
  • 项目类别:
Focused ultrasound therapy for remitting the symptoms of MS in a rat model
聚焦超声疗法可缓解大鼠模型中的多发性硬化症症状
  • 批准号:
    9454946
  • 财政年份:
    2017
  • 资助金额:
    $ 18.87万
  • 项目类别:
High speed ultrasonic communications for implanted medical devices
用于植入医疗设备的高速超声波通信
  • 批准号:
    9434036
  • 财政年份:
    2017
  • 资助金额:
    $ 18.87万
  • 项目类别:
Detection and Grading of Fatty and Fibrotic Liver Using Quantitative Ultrasound
使用定量超声检测脂肪肝和纤维化肝并对其进行分级
  • 批准号:
    9142321
  • 财政年份:
    2015
  • 资助金额:
    $ 18.87万
  • 项目类别:

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