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Use of the K-distribution for classification of breast masses |
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| Authors: | Shankar P M Dumane V A Reid J M Genis V Forsberg F Piccoli C W Goldberg B B |
| Institution: | * Department of Electrical and Computer Engineering, Drexel University, Philadelphia, PA, USA ? School of Biomedical Engineering, Sciences and Health Systems, Drexel University, Philadelphia, PA, USA ? Division of Ultrasound, Department of Radiology, Thomas Jefferson University Hospital, Philadelphia, PA, USA |
| 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. |
| Keywords: | K-distribution Ultrasound Receiver operating characteristics Breast images Tissue characterization |
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