Detection of simulated lesions on data-compressed digital mammograms
Detection of simulated lesions on data-compressed digital mammograms
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DOI：
10.1148/radiol.2361040741
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发表时间：
2005-07-01
期刊：
影响因子：
19.7
通讯作者：
D'Orsi, CJ
中科院分区：
文献类型：
--
作者：
Suryanarayanan, S;Karellas, A;D'Orsi, CJ
目的：回顾性评价基于小波的压缩方法在数据压缩数字乳房x线照片上检测不同大小的模拟肿块和聚集性微钙化的效果。材料和方法：本研究中使用的图像是经机构审查委员会批准和患者知情同意获得的，两者都允许随后的图像数据分析。从图像中删除了患者识别信息，并且该研究符合《健康保险流通与责任法案》的要求。对直径为3,6和8mm的肿块进行分析模拟，并添加到临床乳房x线摄影背景中。此外，从临床乳房x线照片中提取微钙化，并与模拟微钙化进行杂交，用于本研究。研究了1:1、15:1和30:1的图像压缩条件。采用六分制量表记录观察者的反应，并进行受试者工作特征（ROC）分析。此外，采用两种成熟的数值观测者模型研究了在与人类观测者相同的压缩条件下图像压缩的效果。在观察者调整后进行方差分析，以比较肿块和微钙化簇在三个压缩水平上的ROC曲线下面积（A(z)）的平均值。结果：研究结果表明，在不同的压缩条件下，质量的A(z)值没有显著差异。对于微钙化图像，A值在1:1和30:1 （P =.0005）和15:1和30:1 （P =.004）的压缩比之间存在显著差异；1:1与15:1的压缩比差异无统计学意义（P = 0.053）。观测者模型和人类观测者在检测本研究中调查的质量方面表现出类似的趋势。结论：在本研究所采用的条件下，压缩方法对模拟肿块的检测不受影响，而微钙化的检测明显减少，压缩比大于15:1。(c) RSNA， 2005年。
PURPOSE: To evaluate retrospectively the effect of a wavelet-based compression method on the detection of simulated masses of various sizes and clustered microcalcifications on data-compressed digital mammograms.MATERIALS AND METHODS: The images used in this study were acquired with institutional review board approval and patient informed consent, both of which allowed subsequent image data analysis. Patient identification was removed from images, and the study complied with requirements of the Health Insurance Portability and Accountability Act. Masses 3, 6, and 8 mm in diameter were analytically simulated and added to clinical mammographic backgrounds. In addition, microcalcifications were extracted from a clinical mammogram and hybridized with simulated microcalcifications for use in this study. Image compression conditions of 1:1, 15:1, and 30:1 were investigated. Observer responses were recorded with a six-point rating scale, and receiver operating characteristic (ROC) analysis was performed. In addition, two well-established numeric observer models were used to study the effect of image compression under the same compression conditions as were used with human observers. Analysis of variance was performed after observer adjustment to compare the mean values for area under the ROC curve (A(z)) across the three compression levels for the masses and microcalcification clusters.RESULTS: The results of the study indicated no significant differences in the A(z) values for masses with the compression conditions investigated. For images of microcalcifications, there were significant differences in A,values between compression ratios of 1:1 and 30:1 (P =.0005) and of 15:1 and 30:1 (P =.004); the difference between compression ratios of 1:1 and 15:1 was nonsignificant (P =.053). The observer models and human observers exhibited similar trends in detection of the masses investigated in this study.CONCLUSION: Detection of simulated masses was not affected by the compression method with the conditions used in this study, while the detection of microcalcifications was significantly reduced with a compression ratio of more than 15:1. ((c)) RSNA, 2005.