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Proceedings Paper

Liver segment approximation in CT data for surgical resection planning
Author(s): Reinhard Beichel; Thomas Pock; Christian Janko; Roman B. Zotter; Bernhard Reitinger; Alexander Bornik; Kalman Palagyi; Erich Sorantin; Georg Werkgartner; Horst Bischof; Milan Sonka
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Paper 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.

Paper Details

Date Published: 12 May 2004
PDF: 12 pages
Proc. SPIE 5370, Medical Imaging 2004: Image Processing, (12 May 2004); doi: 10.1117/12.535514
Show Author Affiliations
Reinhard Beichel, Technische Univ. Graz (Austria)
Thomas Pock, Technische Univ. Graz (Austria)
Christian Janko, Technische Univ. Graz (Austria)
Roman B. Zotter, Technische Univ. Graz (Austria)
Bernhard Reitinger, Technische Univ. Graz (Austria)
Alexander Bornik, Technische Univ. Graz (Austria)
Kalman Palagyi, Univ. of Szeged (Hungary)
Erich Sorantin, Univ. Hospital Graz (Austria)
Georg Werkgartner, Univ. Hospital Graz (Austria)
Horst Bischof, Technische Univ. Graz (Austria)
Milan Sonka, Univ. of Iowa (United States)

Published in SPIE Proceedings Vol. 5370:
Medical Imaging 2004: Image Processing
J. Michael Fitzpatrick; Milan Sonka, Editor(s)

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