Breast and Pectoral Muscle Contours Detection Based on Goodness of Fit Measure

Author

Liu, Li ; Wang, Jian ; Wang, Tianhui

Author_Institution

Sch. of Electron. & Inf. Eng., Tianjin Univ., Tianjin, China

fYear

2011

fDate

10-12 May 2011

Firstpage

1

Lastpage

4

Abstract

Mammography is one of the primary breast imaging methods. A mammogram is a 2D projection of the compressed breast. Computer-aided methods have been developed for automatic analysis. In this paper, a novel approach based on statistical theory is proposed. The concept of ´goodness of fit´ in statistics theory is utilized to develop a measure of the local spatial distribution in mammogram. The method is implemented on mammograms pixel by pixel. The background and the pectoral muscle can be separated by detecting their contours on the resulting images. The proposed method has been applied on images in mini-MIAS database.

Keywords

biological organs; edge detection; mammography; medical image processing; muscle; statistical analysis; breast; computer-aided methods; contours detection; goodness of fit; mammogram; mammography; mini MIAS database; pectoral muscle; statistical theory; Biomedical imaging; Breast cancer; Databases; Gaussian distribution; Muscles; Pixel;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioinformatics and Biomedical Engineering, (iCBBE) 2011 5th International Conference on

Conference_Location

Wuhan

ISSN

2151-7614

Print_ISBN

978-1-4244-5088-6

Type

conf

DOI

10.1109/icbbe.2011.5780195

Filename

5780195