Feasibility Testing: Three-dimensional Tumor Mapping in Different Orientations of Automated Breast Ultrasound

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• 作者：Chung-Ming Lo^&lowast ; ; ^&dagger ; ; Si-Wa Chan^&Dagger ; ; ^§ ; ; Ya-Wen Yang^¶ ; ; Yeun-Chung Chang^‖ ; Chiun-Sheng Huang^¶ ; ; ^{huangcs@ntu.edu.tw" class="auth_mail" title="E-mail the corresponding author} ; Yi-Sheng Jou^&dagger ; ; Ruey-Feng Chang^&dagger ; ; ^&Dagger ; ; ^{rfchang@csie.ntu.edu.tw" class="auth_mail" title="E-mail the corresponding author}
• 关键词：Breast cancer ; Automated breast ultrasound ; Computer-aided detection ; Tumor mapping
• 刊名：Ultrasound in Medicine & Biology
• 出版年：2016
• 出版时间：May 2016
• 年：2016
• 卷：42
• 期：5
• 页码：1201-1210
• 全文大小：1431 K

文摘

A tumor-mapping algorithm was proposed to identify the same regions in different passes of automated breast ultrasound (ABUS). A total of 53 abnormal passes with 41 biopsy-proven tumors and 13 normal passes were collected. After computer-aided tumor detection, a mapping pair was composed of a detected region in one pass and another region in another pass. Location criteria, including the radial position as on a clock, the relative distance and the distance to the nipple, were used to extract mapping pairs with close regions. Quantitative intensity, morphology, texture and location features were then combined in a classifier for further classification. The performance of the classifier achieved a mapping rate of 80.39% (41/51), with an error rate of 5.97% (4/67). The trade-offs between the mapping and error rates were evaluated, and Az = 0.9094 was obtained. The proposed tumor-mapping algorithm was capable of automatically providing location correspondence information that would be helpful in reviews of ABUS examinations.