DocumentCode :
1396620
Title :
A simple method for automatically locating the nipple on mammograms
Author :
Chandrasekhar, Ramachandran ; Attikiouzel, Yianni
Author_Institution :
Dept. of Electr. & Electron. Eng., Western Australia Univ., Nedlands, WA, Australia
Volume :
16
Issue :
5
fYear :
1997
Firstpage :
483
Lastpage :
494
Abstract :
This paper outlines a simple, fast, and accurate method for automatically locating the nipple on digitized mammograms that have been segmented to reveal the skin-air interface. If the average gradient of the intensity is computed in the direction normal to the interface and directed inside the breast, it is found that there is a sudden and distinct change in this parameter close to the nipple. A nipple in profile is located between two successive maxima of this parameter; otherwise, it is near the global maximum. Specifically, the nipple is located midway between a successive maximum and minimum of the derivative of the average intensity gradient; these being local turning points for a nipple in profile and global otherwise. The method has been tested on 24 images, including both oblique and cranio-caudal views, from two digital mammogram databases. For 23 of the images (96%), the rms error was less than 1 mm at image resolutions of 400 μm and 420 μm per pixel. Because of its simplicity, and because it is based both on the observed behavior of mammographic tissue intensities and on geometry, this method has the potential to become a generic method for locating the nipple on mammograms.
Keywords :
diagnostic radiography; feature extraction; image segmentation; medical image processing; automatic nipple location method; average intensity gradient; craniocaudal view; digital mammogram databases; digitized mammograms; image resolution; local turning points; mammographic tissue intensities; medical diagnostic imaging; oblique view; rms error; segmented mammograms; skin-air interface; two successive maxima; Australia; Biomedical engineering; Breast; Cancer detection; Computer interfaces; Image databases; Information processing; Intelligent systems; Testing; Turning; Algorithms; Automatic Data Processing; Breast; Databases as Topic; Female; Humans; Image Processing, Computer-Assisted; Mammography; Nipples; Radiology Information Systems; Reproducibility of Results; Signal Processing, Computer-Assisted; Skin;
fLanguage :
English
Journal_Title :
Medical Imaging, IEEE Transactions on
Publisher :
ieee
ISSN :
0278-0062
Type :
jour
DOI :
10.1109/42.640738
Filename :
640738
Link To Document :
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