Multiphase liver registration from geodesic distance maps and biomechanical modelling

Jordan Bano, Stéphane A. Nicolau, Alexandre Hostettler, Christophe Doignon, Jacques Marescaux, Luc Soler

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

Abstract

Preoperative planning for surgery is usually performed according to multiphase CT acquisitions: liver arteries and liver veins are provided from two different contrasted CT images. However, these images must be registered as they are acquired at breath hold, which are usually not identical. In this paper, we tackle this issue by providing a non-rigid registration method between the 3D liver models extracted from both preoperative images. This method is based on geodesic distance maps according to relevant landmarks and is divided in two steps: an original deformation field computation on liver surface according to geodesic distance and a biomechanical deformation of a volume mesh using our deformation field. We evaluate our method using four sets of images illustrating our clinical context. Results show that the average registration accuracy is below 1 mm for liver surface and within 5 mm for liver vessels.

Original languageEnglish
Title of host publicationAbdominal Imaging
Subtitle of host publicationComputation and Clinical Applications - 5th International Workshop, Held in Conjunction with MICCAI 2013, Proceedings
Pages165-174
Number of pages10
DOIs
Publication statusPublished - Oct 31 2013
Event5th International Workshop on Abdominal Imaging: Computation and Clinical Applications, Held in Conjunction with 16th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013 - Nagoya, Japan
Duration: Sep 22 2013Sep 22 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8198 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other5th International Workshop on Abdominal Imaging: Computation and Clinical Applications, Held in Conjunction with 16th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013
CountryJapan
CityNagoya
Period9/22/139/22/13

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All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Bano, J., Nicolau, S. A., Hostettler, A., Doignon, C., Marescaux, J., & Soler, L. (2013). Multiphase liver registration from geodesic distance maps and biomechanical modelling. In Abdominal Imaging: Computation and Clinical Applications - 5th International Workshop, Held in Conjunction with MICCAI 2013, Proceedings (pp. 165-174). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8198 LNCS). https://doi.org/10.1007/978-3-642-41083-3_19