Liver segment approximation in CT data for surgical resection planning

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

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

38 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
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
EditorsJ.M. Fitzpatrick, M. Sonka
Pages1435-1446
Number of pages12
Volume5370 III
DOIs
Publication statusPublished - 2004
EventProgress in Biomedical Optics and Imaging - Medical Imaging 2004: Imaging Processing - San Diego, CA, United States
Duration: Feb 16 2004Feb 19 2004

Other

OtherProgress in Biomedical Optics and Imaging - Medical Imaging 2004: Imaging Processing
CountryUnited States
CitySan Diego, CA
Period2/16/042/19/04

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liver
Liver
planning
Planning
vessels
approximation
veins
Tumors
tumors
filters
augmentation
Experiments

Keywords

  • Liver resection planning
  • Liver segment approximation
  • Vessel segmentation

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Condensed Matter Physics

Cite this

Beichel, R., Pock, T., Janko, C., Zotter, R., Reitinger, B., Bornik, A., ... Sonka, M. (2004). Liver segment approximation in CT data for surgical resection planning. In J. M. Fitzpatrick, & M. Sonka (Eds.), Proceedings of SPIE - The International Society for Optical Engineering (Vol. 5370 III, pp. 1435-1446) https://doi.org/10.1117/12.535514

Liver segment approximation in CT data for surgical resection planning. / Beichel, Reinhard; Pock, Thomas; Janko, Christian; Zotter, Roman; Reitinger, Bernhard; Bornik, Alexander; Palágyi, K.; Sorantin, Erich; Werkgartner, Georg; Bischof, Horst; Sonka, Milan.

Proceedings of SPIE - The International Society for Optical Engineering. ed. / J.M. Fitzpatrick; M. Sonka. Vol. 5370 III 2004. p. 1435-1446.

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

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. in JM Fitzpatrick & M Sonka (eds), Proceedings of SPIE - The International Society for Optical Engineering. vol. 5370 III, pp. 1435-1446, Progress in Biomedical Optics and Imaging - Medical Imaging 2004: Imaging Processing, San Diego, CA, United States, 2/16/04. https://doi.org/10.1117/12.535514
Beichel R, Pock T, Janko C, Zotter R, Reitinger B, Bornik A et al. Liver segment approximation in CT data for surgical resection planning. In Fitzpatrick JM, Sonka M, editors, Proceedings of SPIE - The International Society for Optical Engineering. Vol. 5370 III. 2004. p. 1435-1446 https://doi.org/10.1117/12.535514
Beichel, Reinhard ; Pock, Thomas ; Janko, Christian ; Zotter, Roman ; Reitinger, Bernhard ; Bornik, Alexander ; Palágyi, K. ; Sorantin, Erich ; Werkgartner, Georg ; Bischof, Horst ; Sonka, Milan. / Liver segment approximation in CT data for surgical resection planning. Proceedings of SPIE - The International Society for Optical Engineering. editor / J.M. Fitzpatrick ; M. Sonka. Vol. 5370 III 2004. pp. 1435-1446
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