Tomosynthesis for Improved Breast Cancer Detection

用于改进乳腺癌检测的断层合成

基本信息

  • 批准号:
    7591041
  • 负责人:
  • 金额:
    $ 23.59万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2006
  • 资助国家:
    美国
  • 起止时间:
    2006-06-20 至 2011-04-30
  • 项目状态:
    已结题

项目摘要

The purpose of this study is to investigate tomosynthesis mammography to improve the sensitivity and specificity of breast cancer detection. By removing overlapping tissue, this system can allow detection of obscured lesions and permit better 3D characterization of lesions. The specific aims of the proposed study are to: (1) Optimize tomosynthesis technique using specimen and patient images. (2) Implement soft-copy display system for tomosynthesis images and CAD outputs to maximize radiologist productivity and performance. (3) Perform prospective pilot studies to evaluate radiologist performance with breast tomosynthesis. (4) Investigate CAD of breast masses as an integral component of breast tomosynthesis. In preliminary studies, we evaluated the physical characteristics of an investigational digital mammography system modified for tomosynthesis scanning, and optimized the radiographic technique for tomosynthesis. We translated our experience with chest tomosynthesis into mammography, and demonstrated feasibility of our reconstruction algorithm on phantoms, mastectomy specimens, and patients. We developed novel CAD algorithms for the detection of breast masses in mammography, and will parlay that experience into the 3D tomosynthesis data. This proposal presents a complete plan to demonstrate physical and clinical feasibility. Upon the successful completion of each aim, the immediate benefit will be crucial information which will facilitate commercial translation of this breast tomosynthesis system by our industrial partner, as well as the evaluation of similar systems from other academic groups and manufacturers.
本研究的目的是探讨层合乳房x线摄影提高敏感性的方法

项目成果

期刊论文数量(7)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Towards optimized acquisition scheme for multiprojection correlation imaging of breast cancer.
乳腺癌多投影相关成像的优化采集方案。
  • DOI:
    10.1016/j.acra.2008.09.013
  • 发表时间:
    2009
  • 期刊:
  • 影响因子:
    4.8
  • 作者:
    Chawla,AmarpreetS;Saunders,RobertS;Singh,Swatee;Lo,JosephY;Samei,Ehsan
  • 通讯作者:
    Samei,Ehsan
The quantitative potential for breast tomosynthesis imaging.
乳腺断层合成成像的定量潜力。
  • DOI:
    10.1118/1.3285038
  • 发表时间:
    2010
  • 期刊:
  • 影响因子:
    3.8
  • 作者:
    Shafer,ChristinaM;Samei,Ehsan;Lo,JosephY
  • 通讯作者:
    Lo,JosephY
Impulse response and Modulation Transfer Function analysis for Shift-And-Add and Back Projection image reconstruction algorithms in Digital Breast Tomosynthesis (DBT).
数字乳腺断层合成 (DBT) 中移位相加和背投影图像重建算法的脉冲响应和调制传递函数分析。
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JOSEPH Y LO其他文献

JOSEPH Y LO的其他文献

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{{ truncateString('JOSEPH Y LO', 18)}}的其他基金

Computer-Aided Triage of Body CT Scans with Deep Learning
利用深度学习对身体 CT 扫描进行计算机辅助分类
  • 批准号:
    10585553
  • 财政年份:
    2023
  • 资助金额:
    $ 23.59万
  • 项目类别:
TR&D Project 3: Virtual Readers
TR
  • 批准号:
    10551846
  • 财政年份:
    2021
  • 资助金额:
    $ 23.59万
  • 项目类别:
TR&D Project 3: Virtual Readers
TR
  • 批准号:
    10089804
  • 财政年份:
    2021
  • 资助金额:
    $ 23.59万
  • 项目类别:
TR&D Project 3: Virtual Readers
TR
  • 批准号:
    10372911
  • 财政年份:
    2021
  • 资助金额:
    $ 23.59万
  • 项目类别:
Tomosynthesis for Improved Breast Cancer Detection
用于改进乳腺癌检测的断层合成
  • 批准号:
    7096059
  • 财政年份:
    2006
  • 资助金额:
    $ 23.59万
  • 项目类别:
Tomosynthesis for Improved Breast Cancer Detection
用于改进乳腺癌检测的断层合成
  • 批准号:
    7390660
  • 财政年份:
    2006
  • 资助金额:
    $ 23.59万
  • 项目类别:
Tomosynthesis for Improved Breast Cancer Detection
用于改进乳腺癌检测的断层合成
  • 批准号:
    7248669
  • 财政年份:
    2006
  • 资助金额:
    $ 23.59万
  • 项目类别:
Predicting breast cancer with ultrasound and mammography
通过超声波和乳房X光检查预测乳腺癌
  • 批准号:
    6417326
  • 财政年份:
    2002
  • 资助金额:
    $ 23.59万
  • 项目类别:
Predicting breast cancer with ultrasound and mammography
通过超声波和乳房X光检查预测乳腺癌
  • 批准号:
    6620433
  • 财政年份:
    2002
  • 资助金额:
    $ 23.59万
  • 项目类别:
Improved diagnosis of breast microcalcification clusters
改进乳腺微钙化簇的诊断
  • 批准号:
    6515215
  • 财政年份:
    2001
  • 资助金额:
    $ 23.59万
  • 项目类别:

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