A model based algorithm to segment the pectoral muscle in mammograms

Author

Weidong, Xu ; Shunren, Xia

Author_Institution

Dept. of Biomed. Eng., Zhejiang Univ., Hangzhou, China

Volume

2

fYear

2003

fDate

14-17 Dec. 2003

Firstpage

1163

Abstract

In this paper, a model-based algorithm is described to segment the pectoral muscle in the mammograms. After the mammogram has been preprocessed, a set of ROI with different sizes is applied on it, in each of which, an iterative thresholding technique is used to gain an optimal threshold correspondingly. All the thresholds compose the threshold curve and e curve, which the optimal threshold of the mammogram could be extracted by. Finally, a twice line fitting and polygon approaching technique is carried out to refine and approach the edge curve of the pectoral muscle, which has been partly segmented by the thresholding. About 60 mammograms have been used to evaluate the proposed algorithm with satisfactory result reached.

Keywords

cancer; image segmentation; mammography; medical image processing; iterative thresholding technique; mammograms; model based algorithm; optimal threshold; pectoral muscle segmentation; polygon approaching technique; twice line fitting; Biomedical engineering; Breast cancer; Cancer detection; Curve fitting; Filling; Iterative algorithms; Iterative methods; Muscles; Public healthcare; Spatial resolution;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on

Conference_Location

Nanjing

Print_ISBN

0-7803-7702-8

Type

conf

DOI

10.1109/ICNNSP.2003.1281076

Filename

1281076