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Optical Engineering

Computer-aided diagnosis system for breast cancer using B-mode and color Doppler flow images
Author(s): Yan Liu; Heng-Da Cheng; Jianhua Huang; Yingtao Zhang; Xianglong Tang; Hong Wang; Jiawei Tian
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Paper 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.

Paper Details

Date Published: 11 April 2012
PDF: 10 pages
Opt. Eng. 51(4) 043202 doi: 10.1117/1.OE.51.4.043202
Published in: Optical Engineering Volume 51, Issue 4
Show Author Affiliations
Yan Liu, Harbin Institute of Technology (China)
Heng-Da Cheng, Harbin Institute of Technology (China)
Jianhua Huang, Harbin Institute of Technology (China)
Yingtao Zhang, Harbin Institute of Technology (China)
Xianglong Tang, Harbin Institute of Technology (China)
Hong Wang, Harbin Medical Univ. (China)
Jiawei Tian, Harbin Medical Univ. (China)


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