DocumentCode
3280457
Title
Based on pre-treatment and region growing segmentation method of liver
Author
Yan, Zhennan ; Wang, Wenhan ; Yu, Hexin ; Huang, Jin
Author_Institution
Software Coll., Northeast Univ., Liaoning, China
Volume
3
fYear
2010
fDate
16-18 Oct. 2010
Firstpage
1338
Lastpage
1341
Abstract
As the traditional image segmentation methods cannot show the located targets of object clearly and accurately. The paper is based on pre-treatment and 3D region growing segmentation method of the liver. First of all, the original abdominal volume data is based on improving image edges and thresholding segmentation algorithm which is based on statistical analysis to achieve pre-treatment; Secondly, the volume data after pre-treatment is based on volume rendering which is based 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 the paper.
Keywords
computerised tomography; data visualisation; image segmentation; liver; medical image processing; rendering (computer graphics); statistical analysis; 3D region growing segmentation; 3D visualization; RC algorithm; abdominal CT images; image edges; image segmentation; liver; original abdominal volume data; pre-treatment; statistical analysis; thresholding segmentation algorithm; volume rendering; Algorithm design and analysis; Image color analysis; Image edge detection; Image segmentation; Liver; Mathematical model; Three dimensional displays; Statistical analysis; improving image edges; region growing algorithm; threshold segmentation algorithm; volume data;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Signal Processing (CISP), 2010 3rd International Congress on
Conference_Location
Yantai
Print_ISBN
978-1-4244-6513-2
Type
conf
DOI
10.1109/CISP.2010.5648010
Filename
5648010
Link To Document