https://scholars.lib.ntu.edu.tw/handle/123456789/477787
標題: | Automatic detection of microcalcifications in breast ultrasound | 作者: | RUEY-FENG CHANG Hou Y.-L. CHIUN-SHENG HUANG Chen J.-H. Chang J.M. Moon W.K. |
公開日期: | 2013 | 出版社: | John Wiley and Sons Ltd | 卷: | 40 | 期: | 10 | 起(迄)頁: | 102901 | 來源出版物: | Medical Physics | 摘要: | Purpose: In an ultrasound (US) image, the presence of microcalcifications within breast lesions is an important indicator of malignancy. The purpose of this study was to develop a novel automatic detection system to find microcalcifications inside a breast lesion using an US image. Methods: Breast US images from 103 cases with microcalcifications were obtained using an US system with a 6-14 MHz transducer, and 585 microcalcification foci marked on 103 breast US images by a radiologist were used as the ground truth. After segmentation of the lesion contour using the level set method, the microcalcification candidates inside the lesion were found using adaptive speckle reduction and top hat filters. Then, three criteria were used to identify the real microcalcifications, including the mean, single point, and brightness criteria. Results: The proposed method revealed microcalcifications within the lesions in all 103 cases. The sensitivity and the false positive (FP) rate for the detection of microcalcification foci were 80.3% (470/585) and 3.1 per case, respectively. The sensitivities and FP rates for the benign and malignant cases were 79.2% (243/307) with a FP rate of 3.5 and 81.7% (227/278) with a FP rate of 2.6, respectively. Conclusions: The authors' proposed method has the potential to provide a tool to help physicians detect microcalcifications within breast lesions. ? 2013 American Association of Physicists in Medicine. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84885819249&doi=10.1118%2f1.4821098&partnerID=40&md5=68fb0892ff51294051d89a8e873523ff https://scholars.lib.ntu.edu.tw/handle/123456789/477787 |
ISSN: | 00942405 | DOI: | 10.1118/1.4821098 | SDG/關鍵字: | Medical imaging; Numerical methods; Ultrasonic applications; Adaptive Speckle Reduction; Automatic Detection; Automatic detection systems; Breast lesion; Breast ultrasound; High frequency ultrasounds; Microcalcifications; Ultrasound images; Calcification (biochemistry); adult; aged; article; automation; breast biopsy; breast calcification; breast carcinoma; breast examination; breast fibroadenoma; breast hyperplasia; breast lesion; breast papilloma; brightness; contrast enhancement; diagnostic accuracy; diagnostic imaging; echomammography; echomammography device; false positive result; female; human; human tissue; intraductal carcinoma; major clinical study; radiologist; sensitivity and specificity; algorithm; automation; calcinosis; echography; image guided biopsy; methodology; middle aged; pathology; radiography; young adult; calcinosis; echography; echomammography; procedures; Adult; Aged; Algorithms; Automation; Calcinosis; Humans; Image-Guided Biopsy; Middle Aged; Ultrasonography, Mammary; Young Adult; Adult; Aged; Algorithms; Automation; Calcinosis; Humans; Image-Guided Biopsy; Middle Aged; Ultrasonography, Mammary; Young Adult |
顯示於: | 醫學系 |
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