Computerized analysis of interstitial disease in chest radiographs: improvement of geometric-pattern feature analysis.
Computerized analysis of interstitial disease in chest radiographs: improvement of geometric-pattern feature analysis.
复制标题
胸部X光片中间质性疾病的计算机化分析：几何图案特征分析的改进。
作者：
Ishida,T;Katsuragawa,S;Kobayashi,T;MacMahon,H;Doi,K
我们一直在开发自动化的计算机化方案，以帮助放射科医生基于纹理分析和几何图案特征分析来解释间质性疾病的胸部X线片。在本研究中，我们试图提高几何图案特征分析的性能，因为目前几何图案特征分析的分类性能远远低于纹理分析。为了提高对正常肺和间质性病变肺的鉴别能力，我们尝试使用边缘检测技术去除感兴趣区(ROI)中的肋骨边缘，并使用特征分析技术来减少误报。此外，研究了多种参数对分类性能的影响，确定了合适的阈值水平，从而使几何模式特征分析的特异度从69.5%提高到86.1%，敏感度达到95.0%。采用基于规则、纹理分析、几何模式特征分析和人工神经网络相结合的分类方法，获得了96.1%的特异度和95.0%的敏感度。
We have been developing automated computerized schemes to assist radiologists in interpreting chest radiographs for interstitial disease based on texture analysis and geometric‐pattern feature analysis. In this study, we attempted to improve the performance of the geometric‐pattern feature analysis, because the current classification performance with geometric‐pattern feature analysis is considerably lower than that of texture analysis. In order to improve the performance in distinguishing between normal lungs and abnormal lungs with interstitial disease, we attempted to remove rib edges in regions of interest (ROIs) by using an edge detection technique, and also to reduce false positives by using feature analysis techniques. In addition, the effects of many parameters on classification performance were investigated to identify proper threshold levels, and subsequently the specificity of the geometric‐pattern feature analysis was improved from 69.5% to 86.1% at a sensitivity of 95.0%. Using a combined rule‐based method with texture analysis and geometric‐pattern feature analysis plus the artificial neural network (ANN) method for classification, a high specificity of 96.1% was obtained at a sensitivity of 95.0%.
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影响因子：
6.7
作者：
R. J. Tully;R. Conners;C. Harlow;G. Lodwick
通讯作者：
G. Lodwick
影响因子：
19.7
作者：
CALIGIURI, P;GIGER, ML;DIXON, LB
通讯作者：
DIXON, LB
胸部X光片异常发现的性质和微妙性。
影响因子：
3.8
作者：
H. MacMahon;S. Montner;Kunio Doi;Katherine J.M. Liu
通讯作者：
Katherine J.M. Liu
DOI：
10.1109/iembs.1989.95905
发表时间：
1989
期刊：
Images of the Twenty-First Century. Proceedings of the Annual International Engineering in Medicine and Biology Society,
影响因子：
--
作者：
M. Giger
通讯作者：
M. Giger
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。
影响因子：
6.7
作者：
Yin,FF;Giger,ML;Vyborny,CJ;Doi,K;Schmidt,RA
通讯作者：
Schmidt,RA