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    • 1. 发明申请
    • Methods for Microalification Detection of Breast Cancer on Digital Tomosynthesis Mammograms
    • 乳腺癌细胞微量化检测方法
    • US20120294502A1
    • 2012-11-22
    • US13514804
    • 2011-02-11
    • Heang-Ping ChanBerkman SahinerLubomir M. HadjiiskiJun WeiMark A. Helvie
    • Heang-Ping ChanBerkman SahinerLubomir M. HadjiiskiJun WeiMark A. Helvie
    • G06K9/62
    • G06T7/0012A61B6/025A61B6/502A61B6/5211G06T2207/10112G06T2207/30068
    • A computer-aided detection system to detect clustered microcalcifications in digital breast tomosynthesis (DBT) is disclosed. The system performs detection in 2D images and a reconstructed 3D volume. The system may include an initial prescreening of potential microcalcifications by using one or more 3D calcification response function (CRF) values modulated by an enhancement method to identify high response locations in the DBT volume as potential signals. Microcalcifications may be enhanced using a Multi-Channel Enhancement method. Locations detected using these methods can be identified and the potential microcalcifications may be extracted. The system may include object segmentation that uses region growing guided by the enhancement-modulated CRF values, gray level voxel values relative to a local background level, or the original DBT voxel values. False positives may be reduced by descriptors of characteristics of microcalcifications. Detected locations of clusters and a cluster significance rating of each cluster may be output and displayed.
    • 公开了一种用于检测数字乳房断层合成(DBT)中的聚类微钙化的计算机辅助检测系统。 系统在2D图像和重建的3D体积中执行检测。 该系统可以包括通过使用由增强方法调制的一个或多个3D钙化响应函数(CRF)值来识别潜在微钙化的初始预筛选,以将DBT体积中的高响应位置识别为潜在信号。 可以使用多通道增强方法来增强微钙化。 可以识别使用这些方法检测的位置,并且可以提取潜在的微钙化。 系统可以包括使用由增强调制CRF值引导的区域生长,相对于本地背景水平的灰度体素值或原始DBT体素值的对象分割。 微量钙化特征的描述可能会降低假阳性。 可以输出并显示簇的检测位置和每个簇的簇重要性等级。
    • 2. 发明授权
    • Methods for microcalcification detection of breast cancer on digital tomosynthesis mammograms
    • 乳腺癌微钙化检测方法在数字断层合成乳房X光检查中的应用
    • US08977019B2
    • 2015-03-10
    • US13514804
    • 2011-02-11
    • Heang-Ping ChanBerkman SahinerLubomir M. HadjiiskiJun WeiMark A. Helvie
    • Heang-Ping ChanBerkman SahinerLubomir M. HadjiiskiJun WeiMark A. Helvie
    • G06K9/00G06T7/00A61B6/02A61B6/00
    • G06T7/0012A61B6/025A61B6/502A61B6/5211G06T2207/10112G06T2207/30068
    • A computer-aided detection system to detect clustered microcalcifications in digital breast tomosynthesis (DBT) is disclosed. The system performs detection in 2D images and a reconstructed 3D volume. The system may include an initial prescreening of potential microcalcifications by using one or more 3D calcification response function (CRF) values modulated by an enhancement method to identify high response locations in the DBT volume as potential signals. Microcalcifications may be enhanced using a Multi-Channel Enhancement method. Locations detected using these methods can be identified and the potential microcalcifications may be extracted. The system may include object segmentation that uses region growing guided by the enhancement-modulated CRF values, gray level voxel values relative to a local background level, or the original DBT voxel values. False positives may be reduced by descriptors of characteristics of microcalcifications. Detected locations of clusters and a cluster significance rating of each cluster may be output and displayed.
    • 公开了一种用于检测数字乳房断层合成(DBT)中的聚类微钙化的计算机辅助检测系统。 系统在2D图像和重建的3D体积中执行检测。 该系统可以包括通过使用由增强方法调制的一个或多个3D钙化响应函数(CRF)值来识别潜在微钙化的初始预筛选,以将DBT体积中的高响应位置识别为潜在信号。 可以使用多通道增强方法来增强微钙化。 可以识别使用这些方法检测的位置,并且可以提取潜在的微钙化。 系统可以包括使用由增强调制CRF值引导的区域生长,相对于本地背景水平的灰度体素值或原始DBT体素值的对象分割。 微量钙化特征的描述可能会降低假阳性。 可以输出并显示簇的检测位置和每个簇的簇重要性等级。