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Classification of ultrasonic B mode images of the breast using frequency diversity and Nakagami statistics.

Authors
  • Dumane, V A
  • Shankar, P M
  • Piccoli, C W
  • Reid, J M
  • Genis, V
  • Forsberg, F
  • Goldberg, B B
Type
Published Article
Journal
IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control
Publisher
Institute of Electrical and Electronics Engineers
Publication Date
May 01, 2002
Volume
49
Issue
5
Pages
664–668
Identifiers
PMID: 12046943
Source
Medline
License
Unknown

Abstract

The parameters of the Nakagami distribution have been utilized in the past to classify lesions in breast tissue as benign or malignant. To avoid the effect of operatorgain settings on the parameters of the Nakagami distribution, normalized parameters were utilized for the classification. The normalized parameter was defined as the ratio of the parameter at the site of the lesion to its average value over several regions away from the site. This technique, however, was very time consuming. In this paper, the application of frequency diversity and compounding is explored to achieve this normalization. Lesions are classified using these normalized parameters at the site. A receiver operating characteristic (ROC) analysis of the parameters of the Nakagami distribution has been conducted before and after compounding on a data set of 60 benign and 65 malignant lesions. The ROC results indicate that this technique can reasonably classify lesions in breast tissue as benign or malignant.

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