3-D Reconstruction from Medical Images with Improved GVF Snake Model

Author

Cheng, Jinyong ; Liu, Yihui ; Bai, Li

Author_Institution

Sch. of Inf. Sci. & Technol., Shandong Inst. of Light Ind., Jinan

Volume

1

fYear

2008

fDate

13-17 Dec. 2008

Firstpage

220

Lastpage

224

Abstract

3-D reconstruction from medical images is an important application of computer graphics and biomedicine image processing. Image segmentation is a crucial step in 3-D reconstruction. In this paper, an improved image segmentation method which is suitable for 3-D reconstruction is put forward. A 3-D reconstruction algorithm is used to reconstruct the 3-D model from images. First, rough edge is extracted using multi-scale wavelet transform. With the rough edge, GVF Snake model is used and the object contour in the image is found. In the experiment, we reconstruct a 3-D model of the kidney. The performance of the experiment indicates that the new algorithm can produce accurate 3-D reconstruction.

Keywords

computer graphics; computer vision; image reconstruction; image segmentation; medical image processing; wavelet transforms; 3D reconstruction; biomedicine image processing; computer graphics; image segmentation; medical images; multi-scale wavelet transform; Biomedical imaging; Computer graphics; Image processing; Image reconstruction; Image segmentation; Medical diagnostic imaging; Reconstruction algorithms; Rendering (computer graphics); Surface reconstruction; Three dimensional displays; 3-D Reconstruction; Image segmentation; Medical image processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Security, 2008. CIS '08. International Conference on

Conference_Location

Suzhou

Print_ISBN

978-0-7695-3508-1

Type

conf

DOI

10.1109/CIS.2008.191

Filename

4724645