Hepatic vessel segmentation for 3D planning of liver surgery: experimental evaluation of a new fully automatic algorithm

Abstract

Rationale and Objectives: The aim of this study was to identify the optimal parameter configuration of a new algorithm for fully automaticsegmentation of hepatic vessels, evaluating its accuracy in view of its use in a computer system for three-dimensional (3D) planning of liversurgery.Materials and Methods: A phantom reproduction of a human liver with vessels up to the fourth subsegment order, corresponding toa minimum diameter of 0.2 mm, was realized through stereolithography, exploiting a 3D model derived from a real human computed tomographicdata set. Algorithm parameter configuration was experimentally optimized, and the maximum achievable segmentation accuracywas quantified for both single two-dimensional slices and 3D reconstruction of the vessel network, through an analytic comparison of theautomatic segmentation performed on contrast-enhanced computed tomographic phantom images with actual model features.Results: The optimal algorithm configuration resulted in a vessel detection sensitivity of 100% for vessels > 1 mm in diameter, 50% in therange 0.5 to 1 mm, and 14% in the range 0.2 to 0.5 mm. An average area overlap of 94.9% was obtained between automatically andmanually segmented vessel sections, with an average difference of 0.06 mm2. The average values of corresponding false-positive andfalse-negative ratios were 7.7% and 2.3%, respectively.Conclusions: A robust and accurate algorithm for automatic extraction of the hepatic vessel tree from contrast-enhanced computedtomographic volume images was proposed and experimentally assessed on a liver model, showing unprecedented sensitivity in vesseldelineation. This automatic segmentation algorithm is promising for supporting liver surgery planning and for guiding intraoperativeresections.


Tutti gli autori

  • Conversano F.; Franchini R.; Demitri C.; Massoptier L.; Montagna F.; Maffezzoli A.; Malvasi A.; Casciaro S.

Titolo volume/Rivista

Academic radiology


Anno di pubblicazione

2011

ISSN

1076-6332

ISBN

Non Disponibile


Numero di citazioni Wos

Nessuna citazione

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Numero di citazioni Scopus

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Settori ERC

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Codici ASJC

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