Veins Segmentation and Three-Dimensional Reconstruction from Liver CT Images Using Multilevel OTSU Method

Author

Xiaochuan He ; Zhenkuan Pan ; Qian Dong ; Guodong Wang

Author_Institution

Coll. of Inf. Eng., Qingdao Univ., Qingdao, China

fYear

2013

fDate

26-28 July 2013

Firstpage

248

Lastpage

251

Abstract

OTSU method is considered to be the best algorithm for image segmentation of threshold selection. It´s very simple and it´s regardless of image brightness and contrast effects. Therefore it has been widely used in digital image processing. However, in the actual image, because of the influence of noise etc., traditional OTSU algorithm cannot be obtained an accurate segmentation results. In this paper, we divide the CT images of the liver by the combination of the PM filter and local gray stretch. Then we get binary images of vascular. Finally we reconstruct the venous system in liver by the use of Visualization Toolkit (VTK) and 2D segmentation results.

Keywords

blood vessels; computerised tomography; filtering theory; image reconstruction; image segmentation; liver; medical image processing; 2D segmentation; PM filter; VTK; adaptive threshold segmentation method; binary images; digital image processing; local gray stretch; multilevel OTSU method; three-dimensional liver CT image reconstruction; threshold selection; veins segmentation; venous system reconstruction; visualization toolkit; Biomedical imaging; Educational institutions; Image edge detection; Image reconstruction; Image segmentation; Liver; Noise; PM filter; local gray stretch; multilevel OTSU segmentation; three-dimensional reconstruction;

fLanguage

English

Publisher

ieee

Conference_Titel

Image and Graphics (ICIG), 2013 Seventh International Conference on

Conference_Location

Qingdao

Type

conf

DOI

10.1109/ICIG.2013.55

Filename

6643674