Statistical measures of orientation of texture for the detection of architectural distortion in prior mammograms of interval-cancer
Statistical measures of orientation of texture for the detection of architectural distortion in prior mammograms of interval-cancer
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DOI：
10.1117/1.jei.21.3.033010
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发表时间：
2012-07-01
影响因子：
1.1
通讯作者：
Desautels, J. E. Leo
中科院分区：
文献类型：
--
作者：
Chakraborty, Jayasree;Rangayyan, Rangaraj M.;Desautels, J. E. Leo
结构扭曲是早期乳腺癌的重要征兆。由于其微妙之处，在放映过程中经常被遗漏。我们提出了一种基于定向模式的统计测量的方法来检测间歇性癌症病例先前乳房X光照片中的结构失真。在本工作中分析了定向图案，因为具有建筑变形的区域包含大量分布在大角度范围内的组织结构。推导了两种新的共生矩阵来估计定向构造夹角的联合赋存。从每个角度共生矩阵计算统计特征，以区分乳房X光照片正常部分中建筑扭曲的位置和错误检测的区域。应用Gabor滤光片和位相图分析方法，从56例间歇期癌症患者的106张X线片和13例正常人的52张X线片中自动获得4,224个感兴趣区(ROI)。对于每个感兴趣区域，使用角度共生矩阵计算Haralick的14个特征。以受试者工作特征(ROC)曲线下面积(ROC曲线下面积)为最好的结果为0.76，自由反应ROC曲线在每例患者4.2个假阳性时的敏感性为80%。(C)2012年SPIE和IS&T。[DOI：10.1117/1.JEI.21.3.033010]
Architectural distortion is an important sign of early breast cancer. Due to its subtlety, it is often missed during screening. We propose a method to detect architectural distortion in prior mammograms of interval-cancer cases based on statistical measures of oriented patterns. Oriented patterns were analyzed in the present work because regions with architectural distortion contain a large number of tissue structures spread over a wide angular range. Two new types of cooccurrence matrices were derived to estimate the joint occurrence of the angles of oriented structures. Statistical features were computed from each of the angle cooccurrence matrices to discriminate sites of architectural distortion from falsely detected regions in normal parts of mammograms. A total of 4,224 regions of interest (ROIs) were automatically obtained from 106 prior mammograms of 56 interval-cancer cases and 52 mammograms of 13 normal cases with the application of Gabor filters and phase portrait analysis. For each ROI, Haralick's 14 features were computed using the angle cooccurrence matrices. The best result obtained in terms of the area under the receiver operating characteristic (ROC) curve with the leave-one-patient-out method was 0.76; the free-response ROC curve indicated a sensitivity of 80% at 4.2 false positives per patient. (C) 2012 SPIE and IS&T. [DOI: 10.1117/1.JEI.21.3.033010]