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1.发明申请公开(公告)号：US20120294502A1
公开(公告)日：2012-11-22
申请号：US13514804
申请日：2011-02-11
IPC分类号： G06K9/62
CPC分类号： G06T7/0012 , A61B6/025 , A61B6/502 , A61B6/5211 , G06T2207/10112 , G06T2207/30068
摘要： 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.
摘要翻译： 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。
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2.发明授权Methods for microcalcification detection of breast cancer on digital tomosynthesis mammograms 有权乳腺癌微钙化检测方法在数字断层合成乳房X光检查中的应用公开(公告)号：US08977019B2
公开(公告)日：2015-03-10
申请号：US13514804
申请日：2011-02-11
CPC分类号： G06T7/0012 , A61B6/025 , A61B6/502 , A61B6/5211 , G06T2207/10112 , G06T2207/30068
摘要： 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.
摘要翻译： 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。
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3.发明申请Computerized Detection of Breast Cancer on Digital Tomosynthesis Mamograms 审中-公开计算机化检测乳腺癌数字化合成Mamograms公开(公告)号：US20100104154A1
公开(公告)日：2010-04-29
申请号：US12624273
申请日：2009-11-23
IPC分类号： G06K9/00
CPC分类号： G06T7/0012 , G06K9/00 , G06K2209/05 , G06T7/44 , G06T2207/10081 , G06T2207/30068
摘要： A method for using computer-aided diagnosis (CAD) for digital tomosynthesis mammograms (DTM) including retrieving a DTM image file having a plurality of DTM image slices; applying a three-dimensional analysis to the DTM image file to detect lesion candidates; identifying a volume of interest and locating its center; segmenting the volume of interest by a three dimensional method; extracting one or more object characteristics from the object corresponding to the volume of interest; and determining if the object corresponding to the volume of interest is a breast lesion or normal breast tissue.
摘要翻译： 一种用于计算机辅助诊断（CAD）用于数字断层合成乳房X线照片（DTM）的方法，包括检索具有多个DTM图像切片的DTM图像文件; 对DTM图像文件应用三维分析来检测病变候选者; 识别感兴趣的体积和定位其中心; 通过三维方法分割感兴趣的体积; 从对应于感兴趣体积的对象提取一个或多个对象特征; 并且确定与感兴趣体积相对应的物体是否为乳房病变或正常乳腺组织。
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4.发明授权公开(公告)号：US07646902B2
公开(公告)日：2010-01-12
申请号：US11350301
申请日：2006-02-08
IPC分类号： G06K9/00
CPC分类号： G06T7/0012 , G06K9/00 , G06K2209/05 , G06T7/44 , G06T2207/10081 , G06T2207/30068
摘要： A method for using computer-aided diagnosis (CAD) for digital tomosynthesis mammograms (DTM) including retrieving a DTM image file having a plurality of DTM image slices; applying a three-dimensional gradient field analysis to the DTM image file to detect lesion candidates; identifying a volume of interest and locating its center at a location of high gradient convergence; segmenting the volume of interest by a three dimensional region growing method; extracting one or more three dimensional object characteristics from the object corresponding to the volume of interest, the three dimensional object characteristics being one of a morphological feature, a gray level feature, or a texture feature; and invoking a classifier to determine if the object corresponding to the volume of interest is a breast cancer lesion or normal breast tissue.
摘要翻译： 一种用于计算机辅助诊断（CAD）用于数字断层合成乳房X线照片（DTM）的方法，包括检索具有多个DTM图像切片的DTM图像文件; 对DTM图像文件应用三维梯度场分析以检测病变候选者; 识别感兴趣的体积并将其中心定位在高梯度收敛的位置; 通过三维区域增长方法分割感兴趣的体积; 从对应于感兴趣体积的对象提取一个或多个三维对象特征，三维对象特征是形态特征，灰度特征或纹理特征之一; 并且调用分类器来确定与感兴趣体积相对应的对象是否是乳腺癌病变或正常乳腺组织。
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