A clustering method for the extraction of microcalcifications using epipolar curves in digital breast tomosynthesis

Candy P.S. Ho, Christopher E. Tromans, Julia A. Schnabel, Michael Brady

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

DBT provides significantly more information than mammography. This offers new opportunities to improve existing microcalcification detection methods. In a companion work in this volume, we showed that the use of epipolar curves can improve both the sensitivity and specificity of microcalcification detection. In this paper, we develop a clustering algorithm to form epipolar curves from candidate microcalcifications (which may be noise points), obtained after applying a detection algorithm to each individual projection. This enables the subsequent 3D analysis for the classification of microcalcification clusters.

Original languageEnglish
Title of host publicationDigital Mammography - 10th International Workshop, IWDM 2010, Proceedings
Pages682-688
Number of pages7
DOIs
StatePublished - 2010
Externally publishedYes
Event10th International Workshop on Digital Mammography, IWDM 2010 - Girona, Catalonia, Spain
Duration: 16 Jun 201018 Jun 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6136 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference10th International Workshop on Digital Mammography, IWDM 2010
Country/TerritorySpain
CityGirona, Catalonia
Period16/06/1018/06/10

Keywords

  • DBT
  • clustering
  • digital breast tomosynthesis
  • epipolar curves
  • microcalcifications

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