Comparison of bilateral-subtraction and single-image processing techniques in the computerized detection of mammographic masses.
Comparison of bilateral-subtraction and single-image processing techniques in the computerized detection of mammographic masses.
复制标题
乳房X线摄影肿块计算机化检测中双边减影和单图像处理技术的比较。
DOI：
10.1097/00004424-199306000-00001
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发表时间：
1993
影响因子：
6.7
通讯作者：
Schmidt,RA
中科院分区：
文献类型：
--
作者：
Yin,FF;Giger,ML;Vyborny,CJ;Doi,K;Schmidt,RA
Yin FF、Giger ML、Vyborny CJ、Doi K、Schmidt RA。乳房X线摄影肿块计算机化检测中双边减影和单图像处理技术的比较。投资无线电 1993； 28：473-481。基本原理和目标。在数字化屏幕胶片乳房X光照片上识别可能肿块的区域是乳腺癌计算机化检测的重要初始步骤。最初可以使用基于光密度、几何图案以及左右乳房X线照片中对应位置之间的不对称性的标准来提取可能的质量。在本研究中，研究了乳房X线照相不对称产生的信息对于识别肿块病变的有用性。方法。研究了两种技术——基于图像对的非线性双边减法技术和基于单图像的局部灰度阈值技术。使用 154 对乳房 X 光照片评估两种技术结合各种特征分析技术获得的检测性能，并使用自由响应接收器操作特性 (FROC) 分析进行比较。结果。非线性双边减法技术比局部灰度阈值技术表现更好。结论。不对称信息的结合似乎对于计算机化识别乳房X线照片上可能的肿块很有用。
Yin FF, Giger ML, Vyborny CJ, Doi K, Schmidt RA. Comparison of bilateral-subtraction and single-image processing techniques in the computerized detection of mammographic masses. Invest Radiol 1993; 28: 473–481.RATIONALE AND OBJECTIVES. Identification of regions as possible masses on digitized screen film mammograms is an important initial step in the computerized detection of breast carcinomas. Possible masses may be initially extracted using criteria based on optical densities, geometric patterns, and asymmetries between corresponding locations in right and left mammograms. In this study, the usefulness of information arising from mammographic asymmetries for the identification of mass lesions is investigated.METHODS. Two techniques are investigated—a nonlinear bilateral-subtraction technique based on image pairs and a local gray-level thresholding technique based on single images. Detection performances obtained with the two techniques in combination with various feature-analysis techniques are evaluated using 154 pairs of mammograms and compared using free-response receiver operating characteristic (FROC) analysis.RESULTS. The nonlinear bilateral-subtraction technique performed better than the local gray-level thresholding technique.CONCLUSION. The incorporation of asymmetric information appears to be useful for computerized identification of possible masses on mammograms.