Yi-Chen LaiYao-Sian HuangDay-Woei WangChui-Mei TiuYi-Hong ChouRUEY-FENG CHANG2018-09-102018-09-102013-04http://scholars.lib.ntu.edu.tw/handle/123456789/379086In 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. ? 2013 World Federation for Ultrasound in Medicine & Biology.Breast tumor; Computer-aided diagnosis; Power Doppler ultrasonography; Ultrasound; Vascularity[SDGs]SDG3Algorithms; Computer aided diagnosis; Medical imaging; Morphology; Tumors; Ultrasonic imaging; Ultrasonics; Breast tumor; Breast ultrasound; Ellipsoid-fitting; Power doppler ultrasonographies; Thinning algorithm; Threedimensional (3-d); Tumor morphology; Vascularity; Three dimensional; adult; aged; algorithm; article; B scan; breast biopsy; breast cancer; breast tumor; computer assisted diagnosis; computer system; controlled study; diagnostic accuracy; diagnostic test accuracy study; diagnostic value; Doppler echography; female; human; image processing; major clinical study; priority journal; sensitivity and specificity; three dimensional power Doppler ultrasound; tumor classification; tumor vascularization; ultrasound scanner; ultrasound transducerjournal article10.1016/j.ultrasmedbio.2012.09.020