https://scholars.lib.ntu.edu.tw/handle/123456789/478402
標題: | Discrimination of breast microcalcifications using a strain-compounding technique with ultrasound speckle factor imaging | 作者: | Liao, Yin-Yin Li, Chia-Hui Tsui, Po-Hsiang Chang, Chien-Cheng WEN-HUNG KUO KING-JEN CHANG CHIEN-CHENG CHANG |
公開日期: | 2014 | 出版社: | Institute of Electrical and Electronics Engineers Inc. | 卷: | 61 | 期: | 6 | 起(迄)頁: | 955-965 | 來源出版物: | IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control | 摘要: | The usefulness of breast ultrasound could be extended by improving the detection of microcalcifications by being able to detect and enhance microcalcifications while simultaneously eliminating hyperechoic spots (e.g., speckle noise and fibrocystic changes) that can be mistaken for microcalcifications (i.e., false microcalcifications). This study investigated the use of a strain-compounding technique with speckle factor (SF) imaging to analyze the degree of scatterer redistributions in breast tissues under strain conditions for identifying microcalcifications and false microcalcifications. The efficacy of the proposed method was tested by collecting raw data of ultrasound backscattered signals from 26 lesions at BI-RADS category 4 or 5 with suspicious microcalcifications. The different strain conditions were created by applying manual compression to deform the breast lesion. For each region in which microcalcifications were suspected, estimates of the SNR of the strain-compounding B-scan images and estimates of the mean SF (SFavg) in the strain-compounding SF images were calculated. Compared with microcalcifications, the severity of speckle of the false microcalcifications would be easily degraded under compressive strain conditions. The results demonstrated that the SNR estimates in the strain-compounding B-scan images for microcalcifications and false microcalcifications were 5.22 ± 1.04 (mean ± standard deviation) and 4.62 ± 1.09, respectively; the corresponding SFavg estimates in the strain-compounding SF images were 0.47 ± 0.10 and 0.22 ± 0.10 (p < 0.01). The mean area under the receiver operating characteristic curve using the SNR estimate was 0.71, whereas that using the SFavg estimate was 0.94. These findings indicate that the strain-compounding SF imaging method is more effective at discriminating between microcalcifications and false microcalcifications. ? 2014 IEEE. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84901474722&doi=10.1109%2fTUFFC.2014.2991&partnerID=40&md5=97bddd1044f1c424c0531e42891fdb4f https://scholars.lib.ntu.edu.tw/handle/123456789/478402 |
ISSN: | 0885-3010 | DOI: | 10.1109/TUFFC.2014.2991 | SDG/關鍵字: | Medical imaging; Signal to noise ratio; Speckle; Ultrasonic applications; Backscattered signal; Breast microcalcifications; Compressive strain; Fibrocystic changes; Microcalcifications; Receiver operating characteristic curves; Standard deviation; Ultrasound speckle; Calcification (biochemistry); algorithm; breast disease; calcinosis; computer assisted diagnosis; echography; echomammography; elastography; female; human; image enhancement; pathophysiology; procedures; reproducibility; sensitivity and specificity; Young modulus; Algorithms; Breast Diseases; Calcinosis; Elastic Modulus; Elasticity Imaging Techniques; Female; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Reproducibility of Results; Sensitivity and Specificity; Ultrasonography, Mammary |
顯示於: | 醫學系 |
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