Quantitative expression of microcalcification distribution in mammograph by using fractal dimension

Keita Yamada, S. Yabashi, Masayasu
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引用次数: 3

Abstract

The authors discuss microcalcification observed in a mammograph which is important in diagnosis of early breast cancer. After emphasizing the digitized mammograph images by Laplacian operation, a threshold processing was applied to extract the microcalcifications. Although microcalcification opacity exists for both malignant and benign cases, there were differences in the distribution and the numbers of opaque points. To give a quantitative expression for the microcalcification, the data were evaluated by using fractal dimension. As a result of processing 25 cases, including 10 benign cases, up to 14 out of 15 malignant cases were able to be separated using the fractal dimension.<>
用分形维数定量表达乳房x线微钙化分布
作者讨论了乳房x线摄影中观察到的微钙化对早期乳腺癌诊断的重要意义。通过拉普拉斯运算对数字化乳房x线图像进行强化处理后,应用阈值处理提取微钙化。恶性与良性病例均存在微钙化混浊,但混浊点的分布及数量存在差异。为了定量描述微钙化,用分形维数对数据进行了评价。在对25例病例(包括10例良性病例)进行处理后,利用分形维数可以分离出15例恶性病例中的14例。
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