Detection of microcalcifications in mammograms using higher order statistics

Author

Gürcan, M. Nafi ; Yardimci, Yasemin ; Çetin, ç Enis ; Ansari, Rashid

Author_Institution

Dept. of Electr. & Electron. Eng., Bilkent Univ., Ankara, Turkey

Volume

4

Issue

8

fYear

1997

Firstpage

213

Lastpage

216

Abstract

A new method for detecting microcalcifications in mammograms is described. In this method, the mammogram image is first processed by a subband decomposition filterbank. The bandpass subimage is divided into overlapping square regions in which skewness and kurtosis as measures of the asymmetry and impulsiveness of the distribution are estimated. The detection method utilizes these two parameters. A region with high positive skewness and kurtosis is marked as a region of interest. Simulation results show that this method is successful in detecting regions with microcalcifications.

Keywords

band-pass filters; diagnostic radiography; higher order statistics; image segmentation; medical image processing; object detection; asymmetry; bandpass subimage; higher order statistics; impulsiveness; kurtosis; mammogram image; mammograms; microcalcifications; overlapping square regions; skewness; subband decomposition filterbank; Breast cancer; Breast tissue; Calcium; Computational modeling; Computer aided diagnosis; Filter bank; Higher order statistics; Image reconstruction; Lesions; Random variables;

fLanguage

English

Journal_Title

Signal Processing Letters, IEEE

Publisher

ieee

ISSN

1070-9908

Type

jour

DOI

10.1109/97.611278

Filename

611278