Paper Info
Title
Segmentation of liver region with tumorous tissues
Abstract
ABSTRACT Segmentation of an abnormal liver region based on CT or MR images is a crucial step in surgical planning. However, precisely carrying out this step remains a challenge due to either connectivities of the liver to other organs or the shape, internal texture, and homogeneity of liver that maybe extensively affected in case of liver diseases. Here, we propose a non-density based method ,for extracting the liver region containing tumor tissues by edge ,detection processing. False extracted regions are eliminated by a shape analysis methodand thresholding processing. If the multi-phased images are available then the overall outcome of segmentation can be improved by subtracting two phase images, and the connectivities can be further eliminated by referring to the intensity on another phase image. Within an edge liver map, tumor candidates are identified by their different gray values relative to the liver. After elimination of the small and nonspherical over-extracted regions, the final liver region integrates the tumor region with the liver tissue. In our experiment, 40 cases of MDCT images were used and the result showed,that our fully automatic method,for the segmentation of liver region is effective and robust despite the presence of hepatic tumors within the liver. Keywords: Segmentation, Liver, Tumor, Multi-phase CT, Edge extraction, Subtraction method, Computer-aided
Year
Venue
Keywords
2007
Medical Imaging: Image Processing
edge extraction,computer-aided diagnosis,liver,tumor,segmentation,subtraction method,multi-phase ct
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
4
11
Name
Order
Citations
PageRank
Xuejun Zhang17016.55
Gobert Lee2112.76
tetsuji tajima350.93
teruhiko kitagawa4273.05
Masayuki Kanematsu59017.09
Xiangrong Zhou632545.53
Takeshi Hara763979.10
Hiroshi Fujita8808.59
hiroshi kondo951.26
Shigeru Nawano1026529.51
kenji shinozaki1150.93