一种改进的计算机辅助诊断方案，利用小波变换检测数字乳腺X线摄影中的簇状微钙化。
An improved computer-assisted diagnostic scheme using wavelet transform for detecting clustered microcalcifications in digital mammograms.
作者信息
Yoshida H, Doi K, Nishikawa R M, Giger M L, Schmidt R A
机构信息
Kurt Rossmann Laboratories for Radiologic Image Research, Department of Radiology, University of Chicago, IL 60637, USA.
出版信息
Acad Radiol. 1996 Aug;3(8):621-7. doi: 10.1016/s1076-6332(96)80186-3.
RATIONALE AND OBJECTIVES
We evaluated the potential usefulness of a computer-assisted diagnostic (CAD) scheme incorporating the wavelet transform for detecting clustered microcalcifications in mammograms.
METHODS
A wavelet transform technique was applied to the detection of clustered microcalcifications. We examined several wavelets to study their effectiveness in detecting subtle microcalcifications. We used a database consisting of 39 mammograms containing 41 clusters of microcalcifications. The performance of the wavelet-based CAD scheme was evaluated using free-response receiver operating characteristic analysis.
RESULTS
The CAD scheme with the wavelet transform was useful in detecting some of the subtle microcalcifications that were not detected by our previous scheme, which was based on the difference-image technique. When the two schemes were combined, the overall performance was improved to a sensitivity of approximately 95%, with a false-positive rate of 1.5 clusters per image.
CONCLUSION
The wavelet transform approach can improve the detection of subtle clustered microcalcifications.
原理与目的
我们评估了一种结合小波变换的计算机辅助诊断（CAD）方案在检测乳腺钼靶片中簇状微钙化方面的潜在效用。
方法
将小波变换技术应用于簇状微钙化的检测。我们研究了几种小波，以探讨它们在检测细微微钙化方面的有效性。我们使用了一个包含39幅乳腺钼靶片的数据库，其中有41个微钙化簇。基于小波的CAD方案的性能通过自由响应接收器操作特性分析进行评估。
结果
带有小波变换的CAD方案有助于检测出一些我们之前基于差分图像技术的方案未能检测到的细微微钙化。当这两种方案结合使用时，总体性能提高到灵敏度约为95%，假阳性率为每幅图像1.5个簇。
结论
小波变换方法可以提高对细微簇状微钙化的检测能力。
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