• DocumentCode
    2136208
  • Title

    Generating a statistical shape model of the AIDS virus spike

  • Author

    Gopinath, Ajay ; Bovik, Alan C.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Texas at Austin, Austin, TX, USA
  • fYear
    2012
  • fDate
    22-24 April 2012
  • Firstpage
    25
  • Lastpage
    28
  • Abstract
    We introduce a method to automatically extract the spike features of the AIDS virus imaged through an electron microscope. This method detects the location of the spikes and extracts a sub-volume enclosing the spike with a sensitivity of 80%. The extracted spikes are further aligned and combined to build a 4D statistical shape model, where each voxel in the shape model is assigned a probability density function. This is a fully automated process that can extract sub-volumes of the AIDS virus spike making it possible to build a statistical model without the need for any user supervision. The AIDS virus spike is the primary target of drug design as it is directly involved in infecting host cells. We envision that this new tool will significantly enhance the overall process of shape analysis of the AIDS virus spike imaged through the electron microscope.
  • Keywords
    diseases; drugs; electron microscopes; feature extraction; medical image processing; microorganisms; object detection; probability; statistical analysis; 4D statistical shape model generation; AIDS virus spike; AIDS virus spike subvolume extraction; drug design; electron microscope; probability density function; spike feature extraction; spike location detection; Biological system modeling; Drugs; Ellipsoids; Feature extraction; Shape; Tomography; AIDS Virus; Electron Microscopy; Feature Extraction; Spike gp120; Statistical Shape Analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Analysis and Interpretation (SSIAI), 2012 IEEE Southwest Symposium on
  • Conference_Location
    Santa Fe, NM
  • Print_ISBN
    978-1-4673-1831-0
  • Electronic_ISBN
    978-1-4673-1829-7
  • Type

    conf

  • DOI
    10.1109/SSIAI.2012.6202444
  • Filename
    6202444