Detection of clustered microcalcifications in small field digital mammograpy

被引:45
作者
Arodz, T
Kurdziel, M
Popiela, TJ
Sevre, EOD
Yuen, DA
机构
[1] AGH Univ Sci & Technol, Inst Comp Sci, PL-30059 Krakow, Poland
[2] Jagiellonian Univ, Coll Med, PL-31501 Krakow, Poland
[3] Univ Minnesota, Inst Supercomp, Minneapolis, MN 55455 USA
基金
美国国家科学基金会;
关键词
mammogram analysis; microcalcification detection; wavelets; 2D filtering;
D O I
10.1016/j.cmpb.2005.10.002
中图分类号
TP39 [计算机的应用];
学科分类号
081203 [计算机应用技术]; 0835 [软件工程];
摘要
The most frequent symptoms of ductal carcinoma recognised by mammography are clusters of microcalcifications. Their detection from mammograms is difficult, especially for glandular breasts, We present a new computer-aided detection system for small field digital mammography in planning of breast biopsy. The system processes the mammograms in several steps. First, we filter the original picture with a filter that is sensitive to microcalcification contrast shape. Then, we enhance the mammogram contrast by using wavelet-based sharpening algorithm. Afterwards, we present to radiologist, for visual analysis, such a contrast-enhanced mammogram with suggested positions of inicrocalcification clusters. We have evaluated the usefulness of the system with the help of four experienced radiologists, who found that it significantly improves the detection of microcalcifications in small field digital mammography. (c) 2005 Elsevier Ireland Ltd. All rights reserved.
引用
收藏
页码:56 / 65
页数:10
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