...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>IEEE Transactions on Medical Imaging >Generating Synthetic Mammograms From Reconstructed Tomosynthesis Volumes
【24h】

Generating Synthetic Mammograms From Reconstructed Tomosynthesis Volumes

机译：从重建的层析合成体积生成合成乳房X线照片

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Digital breast tomosynthesis (DBT) is a promising 3-D modality that may replace mammography in the future. However, lesion search is likely to require more time in DBT volumes, while comparisons between views from different projections and prior exams might be harder to make. This may make screening with DBT cumbersome. A solution may be provided by synthesizing 2-D mammograms from DBT, which may then be used to guide the search for abnormalities. In this work we focus on synthesizing mammograms in which masses and architectural distortions are optimally visualized. Our approach first determines relevant points in a DBT volume with a computer-aided detection system and then renders a mammogram from the intersection of a surface fitted through these points and the DBT volume. The method was evaluated in a pilot observer study where three readers reported mass findings in 87 patients (25 malignant, 62 normal) for which both DBT and digital mammograms were available. We found that on average, diagnostic accuracy in the synthetic mammograms was higher $(A_{z}=0.85)$ than in conventional mammograms $(A_{z}=0.81)$ , although the difference was not statistically significant. Preliminary results suggest that the synthesized mammograms are an acceptable alternative for real mammograms regarding the detection of mass lesions.
机译：数字化胸部断层合成（DBT）是一种有前途的3-D方式，将来可能会取代乳房X线照相。但是，病灶搜索可能需要更多的DBT时间，而来自不同投影的视图与先前检查之间的比较可能更难进行。这可能会使使用DBT进行筛查变得麻烦。可以通过从DBT合成二维乳房X线照片来提供解决方案，然后可以将其用于指导异常搜索。在这项工作中，我们专注于合成乳腺X线照片，其中可以最佳地可视化质量和建筑变形。我们的方法首先使用计算机辅助检测系统确定DBT体积中的相关点，然后根据通过这些点拟合的表面与DBT体积的交点绘制乳房X光照片。该方法在一项先导性观察者研究中进行了评估，其中三位读者报告了87例患者的肿块发现（25例恶性，62例正常），这些患者均可以使用DBT和数字乳房X线照片。我们发现，平均而言，合成乳房X线照片的诊断准确性比传统乳房X线照片$（A_ {z} = 0.81）$高，尽管差异在统计学上并不显着。初步结果表明，就检测肿块病变而言，合成的乳房X线照片是真实乳房X线照片的可接受替代方案。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号