Classifying Mammographic Mass Shapes Using the Wavelet Transform Modulus-maxima Method

Authors

Lori Mann Bruce, University of Nevada, Las Vegas
Reza R. Adhami, University of Alabama - Huntsville

Document Type

Article

Publication Date

12-1999

Publication Title

IEEE Transactions on Medical Imaging

Volume

18

Issue

12

First page number:

1170

Last page number:

1177

Abstract

In this article, multiresolution analysis, specifically the discrete wavelet transform modulus-maxima (mod-max) method, is utilized for the extraction of mammographic mass shape features. These shape features are used in a classification system to classify masses as round, nodular, or stellate. The multiresolution shape features are compared with traditional uniresolution shape features for their class discriminating abilities. The study involved 60 digitized mammographic images. The masses were segmented manually by radiologists, prior to introduction to the classification system. The uniresolution and multiresolution shape features were calculated using the radial distance measure of the mass boundaries. The discriminating power of the shape features were analyzed via linear discriminant analysis (LDA). The classification system utilized a simple Euclidean metric to determine class membership. The system was tested using the apparent and leave-one-out test methods. The classification system when using the multiresolution and uniresolution shape features resulted in classification rates of 83% and 80% for the apparent and leave one-out test methods, respectively. In comparison, when only the uniresolution shape features were used, the classification rates were 72 and 68% for the apparent and leave-one-out test methods, respectively.

Keywords

Breast—Radiography; Classification--Computer programs; Euclidean algorithm; Image analysis--Data processing

Disciplines

Bioimaging and Biomedical Optics | Biomedical Engineering and Bioengineering | Engineering | Mechanical Engineering

Language

English

Permissions

Use Find in Your Library, contact the author, or interlibrary loan to garner a copy of the item. Publisher policy does not allow archiving the final published version. If a post-print (author's peer-reviewed manuscript) is allowed and available, or publisher policy changes, the item will be deposited.

Repository Citation

Bruce, L. M., Adhami, R. R. (1999). Classifying Mammographic Mass Shapes Using the Wavelet Transform Modulus-maxima Method. IEEE Transactions on Medical Imaging, 18(12), 1170-1177.