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CLC number: TP391.4

On-line Access: 2010-01-01

Received: 2009-01-09

Revision Accepted: 2009-03-02

Crosschecked: 2009-11-30

Cited: 15

Clicked: 4745

Citations:  Bibtex RefMan EndNote GB/T7714

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Journal of Zhejiang University SCIENCE C 2010 Vol.11 No.2 P.111-118

10.1631/jzus.C0910025


Automatic pectoral muscle boundary detection in mammograms based on Markov chain and active contour model


Author(s):  Lei WANG, Miao-liang ZHU, Li-ping DENG, Xin YUAN

Affiliation(s):  School of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China

Corresponding email(s):   thirtyking@zju.edu.cn, yxxinyuan@zju.edu.cn

Key Words:  Pectoral muscle, Markov chain, Active contour, Mammogram


Lei WANG, Miao-liang ZHU, Li-ping DENG, Xin YUAN. Automatic pectoral muscle boundary detection in mammograms based on Markov chain and active contour model[J]. Journal of Zhejiang University Science C, 2010, 11(2): 111-118.

@article{title="Automatic pectoral muscle boundary detection in mammograms based on Markov chain and active contour model",
author="Lei WANG, Miao-liang ZHU, Li-ping DENG, Xin YUAN",
journal="Journal of Zhejiang University Science C",
volume="11",
number="2",
pages="111-118",
year="2010",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.C0910025"
}

%0 Journal Article
%T Automatic pectoral muscle boundary detection in mammograms based on Markov chain and active contour model
%A Lei WANG
%A Miao-liang ZHU
%A Li-ping DENG
%A Xin YUAN
%J Journal of Zhejiang University SCIENCE C
%V 11
%N 2
%P 111-118
%@ 1869-1951
%D 2010
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.C0910025

TY - JOUR
T1 - Automatic pectoral muscle boundary detection in mammograms based on Markov chain and active contour model
A1 - Lei WANG
A1 - Miao-liang ZHU
A1 - Li-ping DENG
A1 - Xin YUAN
J0 - Journal of Zhejiang University Science C
VL - 11
IS - 2
SP - 111
EP - 118
%@ 1869-1951
Y1 - 2010
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.C0910025


Abstract: 
Automatic pectoral muscle removal on medio-lateral oblique (MLO) view of mammogram is an essential step for many mammographic processing algorithms. However, it is still a very difficult task since the sizes, the shapes and the intensity contrasts of pectoral muscles change greatly from one MLO view to another. In this paper, we propose a novel method based on a discrete time markov chain (DTMC) and an active contour model to automatically detect the pectoral muscle boundary. DTMC is used to model two important characteristics of the pectoral muscle edge, i.e., continuity and uncertainty. After obtaining a rough boundary, an active contour model is applied to refine the detection results. The experimental results on images from the Digital Database for Screening Mammography (DDSM) showed that our method can overcome many limitations of existing algorithms. The false positive (FP) and false negative (FN) pixel percentages are less than 5% in 77.5% mammograms. The detection precision of 91% meets the clinical requirement.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

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