NDLI: Automated segmentation of breast lesions in ultrasound images

Content Provider	IEEE Xplore Digital Library
Author	Xu Liu Zhimin Huo Jiwu Zhang
Copyright Year	2005
Description	Author affiliation: Health Group Global R&D Center, Eastman Kodak Co., Shanghai (Xu Liu)
Abstract	Breast cancer is one of the leading causes of death in women. As a convenient and safe diagnosis method, ultrasound is most commonly used second to mammography for early detection and diagnosis of breast cancer. Here we proposed an automatic method to segment lesions in ultrasound images. The images are first filtered with anisotropic diffusion algorithm to remove speckle noise. The edge is enhanced to emphasize the lesion regions. Normalized cut is a graph theoretic that admits combination of different features for image segmentation, and has been successfully used in object parsing and grouping. In this paper we combine normalized cut with region merging method for the segmentation. The merging criteria are derived from the empirical rules used by radiologists when they interpret breast images. In the performance evaluation, we compared the computer-detected lesion boundaries with manually delineated borders. The experimental results show that the algorithm has efficient and robust performance for different kinds of lesions
Starting Page	7433
Ending Page	7435
File Size	226352
Page Count	3
File Format	PDF
ISBN	0780387414
DOI	10.1109/IEMBS.2005.1616230
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-01-17
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Lesions Ultrasonic imaging Breast cancer Merging Mammography Cancer detection Anisotropic magnetoresistance Speckle Image edge detection
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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