Efficient liver surgery planning in 3D based on functional segment classification and volumetric information

Henrique G. Debarba, Dinamar J. Zanchet, Daiane Fracaro, Anderson MacIel, Antonio N. Kalil

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16 Citationer (Scopus)

Abstract

Anatomic hepatectomies are resections in which compromised segments or sectors of the liver are extracted according to the topological structure of its vascular elements. Such structure varies considerably among patients, which makes the current anatomy-based planning methods often inaccurate. In this work we propose a strategy to efficiently and semi-automatically segment and classify patient-specific liver models in 3D. The method is based on standard CT datasets and allows accurate estimation of functional remaining liver volume. Experiments showing effectiveness of the method are presented, and quantitative and qualitative results are discussed.

OriginalsprogEngelsk
Titel2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
Antal sider4
Publikationsdato2010
Sider4797-4800
Artikelnummer5628026
ISBN (Trykt)9781424441235
DOI
StatusUdgivet - 2010
Begivenhed2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10 - Buenos Aires, Argentina
Varighed: 31 aug. 20104 sep. 2010

Konference

Konference2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
Land/OmrådeArgentina
ByBuenos Aires
Periode31/08/201004/09/2010
Navn2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10

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