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.
Autore Pugliese
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
Ultimo Aggiornamento Citazioni
Non Disponibile
Numero di citazioni Scopus
Non Disponibile
Ultimo Aggiornamento Citazioni
Non Disponibile
Settori ERC
Non Disponibile
Codici ASJC
Non Disponibile
Condividi questo sito sui social