A Model-based Algorithm for Mass Segmentation in Mammograms

Author

Xu, Weidong ; Xia, Shunren ; Xiao, Min ; Duan, Huilong

Author_Institution

Key Lab. of Biomed. Eng. of Minist. of Educ., Zhejiang Univ., Hangzhou

fYear

2006

Firstpage

2543

Lastpage

2546

Abstract

A novel mass segmentation algorithm is proposed in this paper. It establishes two mass models to represent the various masses, uses iterative thresholding to extract the suspicious area, and applies a DWT-based approach to locate the masses. And then, a region growing process restricted by Canny edge detection is carried out to extract the rough mass regions, and finally active contour model is used to segment the masses accurately. The clinical experiment has demonstrated that our algorithm has higher performance than conventional methods

Keywords

discrete wavelet transforms; edge detection; image segmentation; iterative methods; mammography; medical image processing; Canny edge detection; DWT-based approach; active contour model; iterative thresholding; mammograms; mass segmentation; model-based algorithm; rough mass region extraction; Active contours; Biomedical engineering; Breast; Computer aided diagnosis; Discrete wavelet transforms; Image edge detection; Iterative algorithms; Iterative methods; Laboratories; Solids;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the

Conference_Location

Shanghai

Print_ISBN

0-7803-8741-4

Type

conf

DOI

10.1109/IEMBS.2005.1616987

Filename

1616987