Demons methods for digital mammography registration

Yago Díez, Meritxell Tortajada, Sergi Ganau, Lidia Tortajada, Melcior Sentís, Robert Martí

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

Abstract

Image registration is regarded as an important tool for the analysis of temporal mammograms, specially for lesion detection. However, it has not been widely adopted due to the complexity of the problem and the limitations of the algorithms. This work evaluates the suitability of Diffeomorphic Demons for temporal mammographic registration. Analysis in a dataset of 440 images from 53 different patients (performing over 3300 registrations) shows a better registration quality using different objective measures compared to standard Rigid and Non-Rigid algorithms. In addition, a study of the effects of lesions in the registration is performed, indicating that registration results (specially for the Demons) can be potentially used for lesion detection.

Original languageEnglish
Title of host publicationPattern Recognition and Image Analysis - 6th Iberian Conference, IbPRIA 2013, Proceedings
Pages253-260
Number of pages8
DOIs
Publication statusPublished - 2013 Sep 3
Event6th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2013 - Funchal, Madeira, Portugal
Duration: 2013 Jun 52013 Jun 7

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7887 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other6th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2013
CountryPortugal
CityFunchal, Madeira
Period13/6/513/6/7

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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