Revisiting intensity-based image registration applied to mammography

Yago Díez, Arnau Oliver, Xavier Lladó, Jordi Freixenet, Joan Martí, Joan Carles Vilanova, Robert Martí

Research output: Contribution to journalArticlepeer-review

36 Citations (Scopus)


The detection of architectural distortions and abnormal structures in mammographic images can be based on the analysis of bilateral and temporal cases using image registration. This paper presents a quantitative evaluation of state-of-the art intensity based image registration methods applied to mammographic images. These methods range from a global and rigid transformation to local deformable paradigms using various metrics and multiresolution approaches. The aim of this study is to assess the suitability of these methods for mammographic image analysis. Evaluation using temporal cases based on quantitative analysis and a multiobserver study is presented which gives an indication of the accuracy and robustness of the different algorithms. Although previous studies suggested that local deformable methods were not suitable due to the generation of unrealistic distortions, in this work we show that local deformable paradigms (multiresolution B-Spline deformations) obtain the most accurate registration results.

Original languageEnglish
Article number5763778
Pages (from-to)716-725
Number of pages10
JournalIEEE Transactions on Information Technology in Biomedicine
Issue number5
Publication statusPublished - 2011 Sep
Externally publishedYes


  • Image registration
  • mammography
  • observer study
  • quantitative evaluation

ASJC Scopus subject areas

  • Biotechnology
  • Computer Science Applications
  • Electrical and Electronic Engineering


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