Computer-aided diagnosis for B-mode, elastography and automated breast ultrasound

Ruey Feng Chang, Chung Ming Lo

研究成果: 書貢獻/報告類型會議貢獻

摘要

This review paper encapsulates the presentation of the computer-aided diagnosis (CAD) development in the session of US imaging at IWDM 2014. The development includes novel methodologies in conventional B-mode and modern ultrasound modalities such as elastography and automated breast ultrasound. For B-mode images, gray-scale invariant texture features were proposed to solve the changing of echogenicities from various ultrasound systems. Speckle patterns were analyzed to show the properties of tiny scatterers with microstructure contained in breast tissues for tissue characterization. Using quantified sonographic findings in tumor classification can achieve better diagnostic result than combining all features together. Elastography CAD systems use automatic tumor segmentation and clustering method to reduce operator-dependence. Dynamic sequence features were extracted from a sequence of elastograms to provide tumor stiffness without selecting slices. Another approach was selecting slices with quality evaluation methods. Both approaches reduced the overloads of physicians in slice selection. Automated breast ultrasound system is developed to automatically scan the whole breast and build the volumetric breast structure. Three-dimensional morphology, texture, and speckle features were proposed and combined to provide more diagnostic information than two-dimensional features. These CAD systems for B-mode, elastography, and automated breast ultrasound are good at malignancy evaluation and would be helpful in clinic use.
原文英語
主出版物標題Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
發行者Springer Verlag
頁面9-15
頁數7
8539 LNCS
ISBN(列印)9783319078861
DOIs
出版狀態已發佈 - 2014
對外發佈
事件12th International Workshop on Breast Imaging, IWDM 2014 - Gifu City, 日本
持續時間: 六月 29 2014七月 2 2014

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
8539 LNCS
ISSN(列印)03029743
ISSN(電子)16113349

其他

其他12th International Workshop on Breast Imaging, IWDM 2014
國家/地區日本
城市Gifu City
期間6/29/147/2/14

ASJC Scopus subject areas

  • 電腦科學(全部)
  • 理論電腦科學

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