Title
Automatic Volumetric Liver Segmentation Using Texture Based Region Growing
Abstract
In this paper an automatic texture based volumetric region growing method for liver segmentation is proposed. 3D seeded region growing is based on texture features with the automatic selection of the seed voxel inside the liver organ and the automatic threshold value computation for the region growing stop condition. Co-occurrence 3D texture features are extracted from CT abdominal volumes and the seeded region growing algorithm is based on statistics in the features space. Each CT volume is composed by 230 slices, having 512 x 512 pixels as spatial resolution, and 12-bit gray level resolution. In this initial feasible study, 5 healthy volunteer acquisitions has been used. Tests have been performed on both basal phase and arterial phase images. Segmentation result shows the effectiveness of the proposed method: liver organ is correctly recognized and segmented, leaving out liver vessels form the segmented area and overcoming the “organ-splitting” problem. The goodness of the proposed method has been confirmed by manual liver segmentation results, having analogous and super-imposable behavior.
Year
DOI
Venue
2010
10.1109/CISIS.2010.118
CISIS
Keywords
Field
DocType
automatic volumetric liver segmentation,liver vessel,liver segmentation,automatic selection,manual liver segmentation result,liver organ,automatic texture,region growing,texture feature,volumetric region,pixel,feature extraction,feasibility study,image segmentation,image texture,segmentation,computed tomography,feature space,spatial resolution
Voxel,Computer vision,Image texture,Segmentation,Computer science,Image segmentation,Feature extraction,Pixel,Region growing,Artificial intelligence,Image resolution
Conference
Citations 
PageRank 
References 
1
0.35
1
Authors
8
Name
Order
Citations
PageRank
Orazio Gambino15611.37
Salvatore Vitabile244460.03
Giuseppe Lo Re333841.26
G. Tona472.24
Santino Librizzi510.35
Roberto Pirrone614036.09
Edoardo Ardizzone723940.79
Massimo Midiri8152.00