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作者

SONG Li ZHANG Guang-yu LU Wen JIAO Qing

作者单位

Department of Biomedical Engineering, College of Radiology, Taishan Medical University, Tai'an 271016, China

刊名

Chinese Journal of Biomedical Engineering

年份

2010

卷号

第3期

页码

103-108,138

ISSN

1004-0552

关键词

enhancement microcalcification cluster kirsch edge detection fractal technique mammogram

分类号

TP391.41

摘要

Microcalcification clusters in mammograms are an important early sign of breast cancer. The enhancement of microcalcifications in mammograms is one of the most important preprocessing techniques for the extraction of cluster microcalcifications. In this paper, we present a novel method for the enhancement of microcalcifications. Firstly, the initial microcalcification edges were extracted by using kirsch edge operator, and the discontinouse edges were linked by employing fractal technique. Then,...更多

Microcalcification clusters in mammograms are an important early sign of breast cancer. The enhancement of microcalcifications in mammograms is one of the most important preprocessing techniques for the extraction of cluster microcalcifications. In this paper, we present a novel method for the enhancement of microcalcifications. Firstly, the initial microcalcification edges were extracted by using kirsch edge operator, and the discontinouse edges were linked by employing fractal technique. Then, the continuous closed edges of microcalcifications were filled by using seed filling algorithm. The pixel values of the filled region were replaced by the corresponding pixel values in the original image. Finally, the enhancement of microcalcifications in mammograms was achieved by adding the filled image to the original image. We evaluated the performance of our algorithm by using 50 regions of interesting (ROIs) with microcalcification clusters from DDSM database. The experiment results demonstrate that our CAD system can give better enhancement effect compared with other methods.收起

学科

【教育部学科】工学

文献类型

期刊

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