DocumentCode
1709375
Title
An effective 3-D visualization system of spine MR images
Author
Zhang, Suping ; Sun, Dongmei ; Xiong, Ke ; Liu, Hailun
Author_Institution
Sch. of Comput. & Inf. Technol., Beijing Jiaotong Univ., Beijing, China
Volume
2
fYear
2010
Abstract
The three dimensional (3-D) visualization of spine MR images can provide abundant and accurate information in spine diseases diagnosing. In this paper we propose a 3-D visualization system for vertebra and spine. We firstly segment the individual vertebra from spine MR images, and then the ray casting algorithm is employed for vertebra and spine 3-D visualization. The intensity inhomogeneity in MR images makes the segmentation of vertebra a big challenge. We combine the level set method with a knowledge-based disks detection method to resolve the problem. Experiments based on spine MR images provided by College of Medicine, University of Cincinnati, prove the feasibility and efficiency, which show that the proposed system can reconstruct 3-D vertebra with clear 3-D profile, and the reconstructed 3-D spine could reflect curvature of the spine.
Keywords
biomedical MRI; data visualisation; image reconstruction; knowledge based systems; medical image processing; neurophysiology; 3D visualization system; knowledge based disks detection method; level set method; ray casting algorithm; reconstructed 3D spine; spine MR images; spine diseases diagnosis; vertebra segmentation; Data visualization; Image color analysis; Image reconstruction; Image segmentation; Level set; Signal processing algorithms; Visualization; 3-D Visualization; Level Set; Ray Casting Vertebra Segmentation; Spine MR;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Systems (ICSPS), 2010 2nd International Conference on
Conference_Location
Dalian
Print_ISBN
978-1-4244-6892-8
Electronic_ISBN
978-1-4244-6893-5
Type
conf
DOI
10.1109/ICSPS.2010.5555273
Filename
5555273
Link To Document