Intraoperative registration for liver tumor ablation

Cristina Oyarzun Laura, Klaus Drechsler, Marius Erdt, Matthias Keil, Matthias Noll, Stefano De Beni, Georgios Sakas, Luigi Solbiati

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

Abstract

Computer aided navigation augments intraoperatively gathered U/S with planning information that the doctor carries out before the intervention on a CT volume. A crucial step for the navigation is the registration between CT and U/S. Our approach consists on a landmark based registration. The correspondences between both modalities are found automatically using a graph to graph matching algorithm. Therefore, liver and vessels are previously segmented. The whole process has being tested on 15 pairs of real clinical data. The results are promising.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages133-140
Number of pages8
Volume7029 LNCS
DOIs
Publication statusPublished - 2012
Event3rd International Workshop on Computational and Clinical Applications in Abdominal Imaging, Held in Conjunction with the 14th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2011 - Toronto, ON, Canada
Duration: Sep 18 2011Sep 18 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7029 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other3rd International Workshop on Computational and Clinical Applications in Abdominal Imaging, Held in Conjunction with the 14th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2011
CountryCanada
CityToronto, ON
Period9/18/119/18/11

Keywords

  • graph matching
  • Intervention
  • liver
  • navigation
  • registration
  • segmentation
  • tumor ablation

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

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  • Cite this

    Oyarzun Laura, C., Drechsler, K., Erdt, M., Keil, M., Noll, M., De Beni, S., Sakas, G., & Solbiati, L. (2012). Intraoperative registration for liver tumor ablation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7029 LNCS, pp. 133-140). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7029 LNCS). https://doi.org/10.1007/978-3-642-28557-8_17