We propose a novel framework for reconstructing 3Dliver vessel model from CT images. The proposed algorithm consists of vessel detection, vessel tree reconstruction and vessel radius estimation. First, we employ the tubular-filter based approach to detect vessel structure and construct the minimum spanning tree to bridge all the gaps between vessels. Then, we propose an approach to estimate the radius of the vessel at all vessel centerline voxels based on the local patch descriptors. Using the proposed 3D vessel reconstruction system can provide detailed 3D liver vessel model very efficiently. Our experimental results demonstrate the accuracy of the proposed system for 3D liver vessel reconstruction from 3D CT images.
3D Liver Vessel Reconstruction from CT Images
2014 2nd International Conference on 3D Vision ; 2 ; 75-81
01.12.2014
427847 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Automatic Measurement of Blood Vessel Angles in Immunohistochemical Images of Liver Cancer
Springer Verlag | 2017
|Terrain Reconstruction from Rover Images
British Library Conference Proceedings | 1993
|Terrain reconstruction from rover images
AIAA | 1993
|Computer Analysis of Eye Blood-Vessel Images
NTRS | 1984
|Reconstruction of Images From Circular-Scan Sensors
Online Contents | 1997