Detection of spiculated lesions in mammograms

Author

Sampat, Mehul P. ; Bovik, Alan C.

Author_Institution

Dept. of Biomedical Eng., Texas Univ., Austin, TX, USA

Volume

1

fYear

2003

fDate

17-21 Sept. 2003

Firstpage

810

Abstract

In this paper, we present a new technique for the detection of spiculated masses in digitized mammograms. The techniques consist of two stages, enhancement of spiculations followed by the detection of the location where they converge. We describe a new algorithm for the enhancement and a new set of linear image filters which we have created for the detection stage. We have tested the algorithm on digitized mammograms obtained from the digital database for screening mammography (DDSM). Results of the detection algorithm are shown. Finally we show that the algorithm may be modified for the detection of architectural distortions.

Keywords

Radon transforms; cancer; mammography; medical image processing; DDSM; digital database for screening mammography; image filters; mammograms; spiculated lesions detection; spiculation enhancement; Biomedical computing; Biomedical engineering; Breast cancer; Cancer detection; Filtering algorithms; Filtering theory; Image converters; Lesions; Mammography; Nonlinear filters;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE

ISSN

1094-687X

Print_ISBN

0-7803-7789-3

Type

conf

DOI

10.1109/IEMBS.2003.1279888

Filename

1279888