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Published in: International Journal of Computer Assisted Radiology and Surgery 2/2020

01-02-2020 | Original Article

Automatic atlas-based liver segmental anatomy identification for hepatic surgical planning

Authors: Omar Ibrahim Alirr, Ashrani Aizzuddin Abd. Rahni

Published in: International Journal of Computer Assisted Radiology and Surgery | Issue 2/2020

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Abstract

Purpose

For the liver to remain viable, the resection during hepatectomy procedure should proceed along the major vessels; hence, the resection planes of the anatomic segments are defined, which mark the peripheries of the self-contained segments inside the liver. Liver anatomic segments identification represents an essential step in the preoperative planning for liver surgical resection treatment.

Method

The method based on constructing atlases for the portal and the hepatic veins bifurcations, the atlas is used to localize the corresponding vein in each segmented vasculature using atlas matching. Point-based registration is used to deform the mesh of atlas to the vein branch. Three-dimensional distance map of the hepatic veins is constructed; the fast marching scheme is applied to extract the centerlines. The centerlines of the labeled major veins are extracted by defining the starting and the ending points of each labeled vein. Centerline is extracted by finding the shortest path between the two points. The extracted centerline is used to define the trajectories to plot the required planes between the anatomical segments.

Results

The proposed approach is validated on the IRCAD database. Using visual inspection, the method succeeded to extract the major veins centerlines. Based on that, the anatomic segments are defined according to Couinaud segmental anatomy.

Conclusion

Automatic liver segmental anatomy identification assists the surgeons for liver analysis in a robust and reproducible way. The anatomic segments with other liver structures construct a 3D visualization tool that is used by the surgeons to study clearly the liver anatomy and the extension of the cancer inside the liver.
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Metadata
Title
Automatic atlas-based liver segmental anatomy identification for hepatic surgical planning
Authors
Omar Ibrahim Alirr
Ashrani Aizzuddin Abd. Rahni
Publication date
01-02-2020
Publisher
Springer International Publishing
Published in
International Journal of Computer Assisted Radiology and Surgery / Issue 2/2020
Print ISSN: 1861-6410
Electronic ISSN: 1861-6429
DOI
https://doi.org/10.1007/s11548-019-02078-x

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