Lo, C.-M.C.-M.LoChen, Y.-P.Y.-P.ChenYEUN-CHUNG CHANGCHIAO LOCHIUN-SHENG HUANGRUEY-FENG CHANG2021-03-192021-03-192014-0701617346https://scholars.lib.ntu.edu.tw/handle/123456789/553976https://www.scopus.com/inward/record.uri?eid=2-s2.0-84903600749&doi=10.1177%2f0161734613520599&partnerID=40&md5=5abb06954cfc7e3c8839247062d644ccAcoustic radiation force impulse (ARFI) is a newly developed elastography technique that uses acoustic radiation force to provide additional stiffness information to conventional sonography. A computer-aided diagnosis (CAD) system was proposed to automatically specify the tumor boundaries in ARFI images and quantify the statistical stiffness information to reduce user dependence. The level-set segmentation was used to delineate tumor boundaries in B-mode images, and the segmented boundaries were then mapped to the corresponding area in ARFI images for a gray-scale calculation. A total of 61 benign and 51 malignant tumors were evaluated in the experiment. The CAD system based on the proposed ARFI features achieved an accuracy of 80% (90/112), a sensitivity of 80% (41/51), and a specificity of 80% (49/61), which is significantly better than that of the quantitative B-mode features (p < 0.05). The ARFI features were further combined with the B-mode features, including shape and texture features, to further improve performance (area under the curve [AUC], 0.90 vs. 0.86). In conclusion, the CAD system based on the proposed ARFI features is a promising and efficient diagnostic method. ? The Author(s) 2013.enacoustic radiation force impulsebreast cancercomputer-aided diagnosisultrasound[SDGs]SDG3Acoustic emissions; Acoustic radiators; Acoustic wave propagation; Acoustic wave transmission; Image segmentation; Medical imaging; Stiffness; Textures; Tumors; Ultrasonic imaging; Ultrasonics; Acoustic radiation force; Acoustic radiation Force Impulse; Acoustic radiation force impulse imaging; Additional stiffness; Area under the curves; Breast Cancer; Computer Aided Diagnosis(CAD); Level set segmentation; Computer aided diagnosisjournal article10.1177/0161734613520599248948672-s2.0-84903600749