A new registration/visualization paradigm for CT-fluoroscopy guided RF liver ablation

Ruxandra Micu*, Tobias F. Jakobs, Martin Urschler, Nassir Navab

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review


2D-3D slice-to-volume registration for abdominal organs like liver is difficult due to the breathing motion and tissue deformation. The purpose of our approach is to ease CT-fluoroscopy (CT-fluoro) based needle insertion for the Radiofrequency Liver Ablation procedure using high resolution contrasted preoperative data. In this case, low signalto-noise ratio, absence of contrast and additional presence of needle in CT-fluoro makes it difficult to guarantee the solution of any deformable slice-tc-volume registration algorithm. In this paper, we first propose a method for creating a set of ground truth (GT) simulation data based on a non-linear deformation of the CT-fluoro volume obtained from real patients. Second, we split the CT-fluoro image and apply intensity based rigid and affine registration to each section. We then propose a novel solution, which consists of intuitive visualization sequences of optimal sub-volumes of preinterventional data based on the registration results. Experiments on synthetic and real patient data and direct feedback of two interventionalists validate our alternative approach.

Original languageEnglish
Title of host publicationMedical Image Computing and Computer-Assisted Intervention – MICCAI 2006
Subtitle of host publication9th International Conference, Copenhagen, Denmark, October 1-6, 2006. Proceedings, Part I
EditorsRasmus Larsen, Mads Nielsen, Jon Sporring
Place of PublicationBerlin Heidelberg
Number of pages9
ISBN (Electronic)978-3-540-44708-5
ISBN (Print)978-3-540-44707-8
Publication statusPublished - 2006
Event9th International Conference on Medical Image Computing and Computer-Assisted Intervention: MICCAI 2006 - Copenhagen, Denmark
Duration: 1 Oct 20066 Oct 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4190 LNCS - I
ISSN (Print)03029743
ISSN (Electronic)16113349


Conference9th International Conference on Medical Image Computing and Computer-Assisted Intervention

Fields of Expertise

  • Information, Communication & Computing

Cite this