DocumentCode :
3270315
Title :
Based on statistical analysis and 3D region growing segmentation method of liver
Author :
Junbin Huang ; Lingquan Meng ; Wenhong Qu ; Chenhui Wang
Author_Institution :
Software Coll., Northeastern Univ., Shenyang, China
fYear :
2011
fDate :
18-20 Jan. 2011
Firstpage :
478
Lastpage :
482
Abstract :
As the traditional image segmentation methods can not show the location targets of object clearly and accurately. The paper base on statistical analysis and 3D region growing segmentation method of the liver. First of all, the original abdominal volume data base on thresholding segmentation algorithm which is based on statistical analysis to achieve pre-treatment; Secondly, the volume data after pre-treatment base on volume rendering which base on RC algorithm to achieve three-dimensional visualization of abdominal CT images; Then, based on 3D region growing algorithm for three-dimensional abdominal images of liver segmentation. Through the design of the liver segmentation experiment from abdominal CT images to validate the effectiveness of the method of paper.
Keywords :
data visualisation; image segmentation; liver; medical image processing; rendering (computer graphics); statistical analysis; 3D region growing algorithm; 3D region growing segmentation method; RC algorithm; abdominal CT images; abdominal volume database; image segmentation method; liver segmentation; statistical analysis; three dimensional abdominal images; three dimensional visualization; thresholding segmentation algorithm; volume rendering; Data visualization; Image segmentation; Liver; Statistical analysis; region growing algorithm; threshold segmentation algorithm; volume data;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Computer Control (ICACC), 2011 3rd International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-8809-4
Electronic_ISBN :
978-1-4244-8810-0
Type :
conf
DOI :
10.1109/ICACC.2011.6016458
Filename :
6016458
Link To Document :
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