Computer-aided diagnosis system for breast cancer using B-mode and color Doppler flow images

Yan Liu; Heng-Da Cheng; Jianhua Huang; Yingtao Zhang; Xianglong Tang; Hong Wang; Jiawei Tian

doi:10.1117/1.OE.51.4.043202

11 April 2012 Computer-aided diagnosis system for breast cancer using B-mode and color Doppler flow images

Yan Liu, Heng-Da Cheng, Jianhua Huang, Yingtao Zhang, Xianglong Tang, Hong Wang, Jiawei Tian

Author Affiliations +

Optical Engineering, Vol. 51, Issue 4, 043202 (April 2012). https://doi.org/10.1117/1.OE.51.4.043202

Abstract

To improve the diagnostic accuracy of breast ultrasound classification, a novel computer-aided diagnosis system based on B-Mode ultrasound and color Doppler flow imaging is proposed. First, different feature extraction methods were used to obtain the texture and geometric features from B-Mode ultrasound images. In the color Doppler feature stage, both vascularity and hemodynamic features are studied by applying color distribution and periodograms analysis to Doppler signals. Finally, a support vector machine classifier with selected feature vectors is used to classify breast tumors into benign and malignant. The accuracy, sensitivity, specificity, positive predictive value, negative predictive value, and areas under the ROC curves of the proposed system are 94.28%, 96.36%, 92.00%, 92.98%, 95.83%, and 0.9679, respectively. The experimental results demonstrate that the proposed computer-aided diagnosis system can improve the true-positive and decrease the false-positive diagnostic rate, which is useful for reducing the unnecessary biopsy and death rate.

Citation Download Citation

Yan Liu, Heng-Da Cheng, Jianhua Huang, Yingtao Zhang, Xianglong Tang, Hong Wang, and Jiawei Tian "Computer-aided diagnosis system for breast cancer using B-mode and color Doppler flow images," Optical Engineering 51(4), 043202 (11 April 2012). https://doi.org/10.1117/1.OE.51.4.043202

Published: 11 April 2012

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