Liver segment approximation in CT data for surgical resection planning

Reinhard Beichel, Thomas Pock, Christian Janko, Roman Zotter, Bernhard Reitinger, Alexander Bornik, Kálmán Palágyi, Erich Sorantin, Georg Werkgartner, Horst Bischof, Milan Sonka

Research output: Contribution to journalConference article

40 Citations (Scopus)

Abstract

Surgical planning of liver tumor resections requires detailed three-dimensional (3D) understanding of the complex arrangement of vasculature, liver segments and tumors. Knowledge about location and sizes of liver segments is important for choosing an optimal surgical resection approach and predicting postoperative residual liver capacity. The aim of this work is to facilitate such surgical planning process by developing a robust method for portal vein tree segmentation. The work also investigates the impact of vessel segmentation on the approximation of liver segment volumes. For segment approximation, smaller portal vein branches are of importance. Small branches, however, are difficult to segment due to noise and partial volume effects. Our vessel segmentation is based on the original gray-values and on the result of a vessel enhancement filter. Validation of the developed portal vein segmentation method in computer generated phantoms shows that, compared to a conventional approach, more vessel branches can be segmented. Experiments with in vivo acquired liver CT data sets confirmed this result. The outcome of a Nearest Neighbor liver segment approximation method applied to phantom data demonstrates, that the proposed vessel segmentation approach translates into a more accurate segment partitioning.

Original languageEnglish
Pages (from-to)1435-1446
Number of pages12
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume5370 III
DOIs
Publication statusPublished - Oct 27 2004
EventProgress in Biomedical Optics and Imaging - Medical Imaging 2004: Imaging Processing - San Diego, CA, United States
Duration: Feb 16 2004Feb 19 2004

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Keywords

  • Liver resection planning
  • Liver segment approximation
  • Vessel segmentation

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

Beichel, R., Pock, T., Janko, C., Zotter, R., Reitinger, B., Bornik, A., Palágyi, K., Sorantin, E., Werkgartner, G., Bischof, H., & Sonka, M. (2004). Liver segment approximation in CT data for surgical resection planning. Proceedings of SPIE - The International Society for Optical Engineering, 5370 III, 1435-1446. https://doi.org/10.1117/12.535514