Title :
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
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;
Conference_Titel :
Computational Intelligence and Security, 2008. CIS '08. International Conference on
Conference_Location :
Suzhou
Print_ISBN :
978-0-7695-3508-1
DOI :
10.1109/CIS.2008.191
