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Use of the K-distribution for classification of breast masses
P M Shankar1, V A Dumane, J M Reid
1Department of Electrical and Computer Engineering, Drexel University, Philadelphia, PA 19104, USA. pshankar@coe.drexel.edu
Abstract:
The K-distribution had been introduced as a valid model to represent the statistics of the envelope of the backscattered echo from phantom and tissue. This paper investigates the efficacy of the parameters of this statistical model; namely, the effective number and the effective cross-section, to characterize breast lesions as benign or malignant. Based on the normalized values of the effective number and the effective scattering cross-section, images containing benign and malignant masses were classified for a data set from 52 patients having breast masses/lesions. The receiver operating characteristic (ROC) curves were then obtained to test the classification based on these two parameters. The results indicate that the parameters of the K-distribution may be useful in classification of the breast lesions as benign and malignant.