Related Experiment Video
Updated: Jun 17, 2026
Visualization of Vascular and Parenchymal Regeneration after 70% Partial Hepatectomy in Normal Mice
Published on: September 13, 2016
Software for hepatic vessel classification: feasibility study for virtual surgery
A Sboarina1, R I Foroni, A Minicozzi
1Anesthesiological and Surgical Science Department, University Hospital of Verona, Piazzale A. Stefani 1, Verona, Italy. andrea.sboarina@univr.it
Purpose:
The detection and classification of hepatic vessels in diagnostic images are essential for hepatic pre-surgery planning. Our team has developed a tool for classification, analysis, and 3D reconstruction of the hepatic and portal systems.
Methods:
Our software first extracts a graphic representation of a set of connected voxels, representing both systems. It then calculates two binary volumes representing the main part of the two venous systems. Finally, it combines these results to obtain the correct vessel classification.
Results:
Segmentation steps are semi-automatic and require about 40 min to complete. Schematization and classification steps are automatic and require about 17 min for results.
Conclusion:
The software provides a correct and detailed reconstruction even where pathologies have caused morphological and geometrical variations in the vessels. The time required for the entire procedure is compatible with clinical requirements, providing an efficient tool for diagnosis and surgical planning.
