A modular registration algorithm for medical images

Silvia Bertoluzza, Giulia Maggi, Stefano Tomatis

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

Abstract

The aim of this communication is to present the design of a code for image registration based on a modular structure which allows to easily combine and interchange different image models, transformation classes and image "distance" functionals, which are dealt with by independent modules which can be implemented transparently to each other. The code is tested by comparing several registration strategies on medical images.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages467-474
Number of pages8
Volume7950 LNCS
DOIs
Publication statusPublished - 2013
Event10th International Conference on Image Analysis and Recognition, ICIAR 2013 - Povoa do Varzim, Portugal
Duration: Jun 26 2013Jun 28 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7950 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other10th International Conference on Image Analysis and Recognition, ICIAR 2013
CountryPortugal
CityPovoa do Varzim
Period6/26/136/28/13

Keywords

  • medical imaging
  • optimization
  • registration algorithm

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

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  • Cite this

    Bertoluzza, S., Maggi, G., & Tomatis, S. (2013). A modular registration algorithm for medical images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7950 LNCS, pp. 467-474). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7950 LNCS). https://doi.org/10.1007/978-3-642-39094-4_53