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1. 发明申请

WO2007090892A1 BREAST TISSUE DENSITY MEASURE 审中-公开
标题翻译：乳腺组织密度测量
公开(公告)号：WO2007090892A1
公开(公告)日：2007-08-16
申请号：PCT/EP2007/051284
申请日：2007-02-09
申请人： NORDIC BIOSCIENCE A/S , RAUNDAHL, Jakob , LOOG, Marco , NIELSEN, Mads
发明人： RAUNDAHL, Jakob , LOOG, Marco , NIELSEN, Mads
IPC分类号： G06K9/52 , G06K9/62
CPC分类号： G06K9/527 , G06K9/6223
摘要： Mammogram images are processed by computer to derive automatically a value for a parameter useful in detecting differences in breast tissue in subsequent images of the same breast or relative to a control group of such images, said derived parameter being a parameter that changes alongside changes in breast density and is hence useful in assessing cancer risk. The method comprises the steps of processing each image of at least part of a breast by: computing for pixels of the image a quotient value representative of the aspect ratio of tissue structures depicted in the image; using a trained classifier to classify said pixels according to their respective said quotient values and assigning a score to the respective pixels representing their classification with respect to at least two classes; deriving said parameter that changes alongside changes in breast density based on the aggregate pixel membership scores of said classes. The classifier may be trained either by unsupervised learning or by supervised learning.
摘要翻译：计算机处理乳房X线照片图像以自动导出用于检测同一乳房的后续图像或相对于这样的图像的对照组的乳房组织中的差异的参数的值，所述导出参数是随乳房变化而变化的参数密度，因此有助于评估癌症风险。该方法包括以下步骤：通过以下步骤处理乳房的至少一部分的每个图像：计算图像中像素的代表图像中描绘的组织结构的纵横比的商值; 使用经过训练的分类器根据其相应的商值对所述像素进行分类，并且将分数分配给相对于至少两个类别表示其分类的各个像素; 导出所述参数随着所述类别的聚集像素成分分数而随着乳房密度的变化而变化。分类器可以通过无监督学习或受监督学习进行训练。

2. 发明申请

WO2010143015A2 BREAST TISSUE DENSITY MEASURE 审中-公开
标题翻译：乳腺组织密度测量
公开(公告)号：WO2010143015A2
公开(公告)日：2010-12-16
申请号：PCT/IB2009/008098
申请日：2009-12-23
申请人： NORDIC BIOSCIENCE IMAGING A/S , RAUNDAHL, Jakob , LOOG, Marco , NIELSEN, Mads
发明人： RAUNDAHL, Jakob , LOOG, Marco , NIELSEN, Mads
CPC分类号： G06T7/0014 , G06T7/44 , G06T2207/10116 , G06T2207/20016 , G06T2207/30068
摘要： A method of processing a mammogram image to derive a value for a parameter useful in detecting differences in breast tissue in subsequent images of the same breast or relative to a control group of such images, said derived parameter being an aggregate probability score reflecting the probability of the image being a member of a predefined class of mammogram images, comprises computing for each of a multitude of pixels within a large region of interest within the image a pixel probability score assigned by a trained statistical classifier according to the probability of said pixel belonging to an image belonging to said class, said pixel probability being calculated on the basis of a selected plurality of features of said pixels, and computing said parameter by aggregating the pixel probability scores over said region of interest. Saud features may include the 3- jet of said pixels.
摘要翻译：一种处理乳房X线照片图像以导出用于检测同一乳房的后续图像或相对于这样的图像的对照组的乳房组织中的差异的参数的值的方法，所述导出参数是反映概率的概率所述图像是预定类别的乳房X线照片图像的成员，包括根据所述像素的概率属于所述图像的概率来计算针对所述图像内的感兴趣的大区域内的多个像素中的每个像素，所述像素由训练的统计分类器分配的像素概率得分属于所述类的图像，所述像素概率是基于所选像素的所选择的多个特征被计算的，并且通过聚集所述感兴趣区域上的像素概率分数来计算所述参数。沙特特征可以包括所述像素的3-射流。

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