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

Ruey Feng Chang, Chung Ming Lo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages9-15
Number of pages7
Volume8539 LNCS
ISBN (Print)9783319078861
DOIs
Publication statusPublished - 2014
Externally publishedYes
Event12th International Workshop on Breast Imaging, IWDM 2014 - Gifu City, Japan
Duration: Jun 29 2014Jul 2 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8539 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other12th International Workshop on Breast Imaging, IWDM 2014
CountryJapan
CityGifu City
Period6/29/147/2/14

Keywords

  • breast cancer
  • Computer-aided diagnosis
  • ultrasound

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

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