https://scholars.lib.ntu.edu.tw/handle/123456789/553976
標題: | Computer-aided strain evaluation for acoustic radiation force impulse imaging of breast masses | 作者: | Lo, C.-M. Chen, Y.-P. YEUN-CHUNG CHANG Chiao Lo CHIUN-SHENG HUANG RUEY-FENG CHANG |
關鍵字: | Acoustic radiation force impulse; Breast cancer; Computer-aided diagnosis; Ultrasound | 公開日期: | 七月-2014 | 卷: | 36 | 期: | 3 | 起(迄)頁: | 151-166 | 來源出版物: | Ultrasonic Imaging | 摘要: | Acoustic 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. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/553976 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84903600749&doi=10.1177%2f0161734613520599&partnerID=40&md5=5abb06954cfc7e3c8839247062d644cc |
ISSN: | 01617346 | DOI: | 10.1177/0161734613520599 | SDG/關鍵字: | Acoustic 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 diagnosis |
顯示於: | 醫學院附設醫院 (臺大醫院) |
在 IR 系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。