• DocumentCode
    519513
  • Title

    DTI white matter fiber tractography using bayesian framework

  • Author

    Wu, Xi

  • Author_Institution
    Dept. of Electron. Eng., Chengdu Univ. of Inf. Technol., Chengdu, China
  • Volume
    1
  • fYear
    2010
  • fDate
    17-18 April 2010
  • Firstpage
    447
  • Lastpage
    449
  • Abstract
    Diffusion tensor-MRI (DTI) White matter fiber tracking traces white matter fibber bundle and its image according to the diffusion of water molecular in the white matter. This paper uses structure information of fiber bundle and DTI information in current voxel to estimate the probability density function of the tracking direction to the next voxel. This algorithm is under the framework of Bayesian decision and uses weighted sampling to get the tracking result. Stochastic three dimension image of topologic and spatial information of white matter fiber bundle was demonstrated through multiply tracking and was applicant in real DTI data.
  • Keywords
    Bayes methods; biomedical MRI; decision making; medical image processing; probability; sampling methods; stochastic processes; Bayesian decision; Bayesian framework; diffusion tensor MRI; probability density function; stochastic three dimension image; weighted sampling; white matter fiber bundle; white matter fiber tracking; Bayesian methods; Diffusion tensor imaging; Ecosystems; Information technology; Magnetic resonance; Probability density function; Stochastic processes; Streaming media; Uncertainty; Underwater tracking; Bayesian framework; DTI; fiber tractography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    E-Health Networking, Digital Ecosystems and Technologies (EDT), 2010 International Conference on
  • Conference_Location
    Shenzhen
  • Print_ISBN
    978-1-4244-5514-0
  • Type

    conf

  • DOI
    10.1109/EDT.2010.5496536
  • Filename
    5496536