Computer-Aided Diagnosis for 3-D Power Doppler Breast Ultrasound |
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| Authors: | Yi-Chen Lai Yao-Sian Huang Day-Woei Wang Chui-Mei Tiu Yi-Hong Chou Ruey-Feng Chang |
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| Institution: | ∗ Department of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan;† Department of Medicine, National Yang-Ming University, Taipei, Taiwan;‡ Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan;§ Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan |
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| Abstract: | In recent studies, both tumor morphology and vascularity played an important role in differentiating breast tumors. In this article, a computer-aided diagnosis (CAD) system was proposed to quantify the tumor morphology of vascularity on three-dimensional (3-D) power Doppler breast ultrasound (PDUS) images. We segmented the tumor margin by the level set method and skeletonized vessels by the 3-D thinning algorithm from 3-D PDUS data to capture the B-mode and vascularity features. The B-mode features including texture, shape and ellipsoid fitting and the vascularity features containing volume, complexity, length, radius and tortuosity were used to differentiate breast tumors. In the experiment, 82 biopsy-verified lesions including 41 benign and 41 malignant lesions were used to test the performance of the proposed system. The proposed method performed well, achieving accuracy, sensitivity, specificity and Az values of 85.37% (70/82), 85.37% (35/41), 85.37% (35/41) and 0.9104, respectively. |
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| Keywords: | Breast tumor Computer-aided diagnosis Power Doppler ultrasonography Vascularity Ultrasound |
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