• 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