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  4. Computer-aided strain evaluation for acoustic radiation force impulse imaging of breast masses
 
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Computer-aided strain evaluation for acoustic radiation force impulse imaging of breast masses

Journal
Ultrasonic Imaging
Journal Volume
36
Journal Issue
3
Pages
151-166
Date Issued
2014-07
Author(s)
Lo, C.-M.
Chen, Y.-P.
YEUN-CHUNG CHANG  
CHIAO LO  
CHIUN-SHENG HUANG  
RUEY-FENG CHANG  
DOI
10.1177/0161734613520599
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
Abstract
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.
Subjects
acoustic radiation force impulse
breast cancer
computer-aided diagnosis
ultrasound
SDGs

[SDGs]SDG3

Other Subjects
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
Publisher
SAGE Publications Inc.
Type
journal article

臺大位居世界頂尖大學之列,為永久珍藏及向國際展現本校豐碩的研究成果及學術能量,圖書館整合機構典藏(NTUR)與學術庫(AH)不同功能平台,成為臺大學術典藏NTU scholars。期能整合研究能量、促進交流合作、保存學術產出、推廣研究成果。

To permanently archive and promote researcher profiles and scholarly works, Library integrates the services of “NTU Repository” with “Academic Hub” to form NTU Scholars.

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