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Reconstruction-Independent 3D CAD for Calcification Detection in Digital Breast Tomosynthesis Using Fuzzy Particles

  • G. Peters
  • S. Muller
  • S. Bernard
  • R. Iordache
  • F. Wheeler
  • I. Bloch
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3773)

Abstract

In this paper we present a novel approach for microcalcification detection in Digital Breast Tomosynthesis (DBT) datasets. A reconstruction-independent approach, working directly on the projected views, is proposed. Wavelet filter responses on the projections are thresholded and combined to obtain candidate microcalcifications. For each candidate, we create a fuzzy contour through a multi-level thresholding process. We introduce a fuzzy set definition for the class microcalcification contour that allows the computation of fuzzy membership values for each candidate contour. Then, an aggregation operator is presented that combines information over the complete set of projected views, resulting in 3D fuzzy particles. A final decision is made taking into account information acquired over a range of successive processing steps. A clinical example is provided that illustrates our approach. DBT still being a new modality, a similar published approach is not available for comparison and limited clinical data currently prevents a clinical evaluation of the algorithm. .

Keywords

Digital Mammography Aggregation Operator Digital Breast Tomosynthesis Algebraic Reconstruction Technique Projected View 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • G. Peters
    • 1
    • 3
  • S. Muller
    • 1
  • S. Bernard
    • 1
  • R. Iordache
    • 1
  • F. Wheeler
    • 2
  • I. Bloch
    • 3
  1. 1.GE Healthcare EuropeBucFrance
  2. 2.GE Global Research, One Research CircleNiskayunaUSA
  3. 3.Ecole Nationale Supérieure de Télécommunications, CNRS UMR 5141 LTCIParisFrance

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