• DocumentCode
    1877771
  • Title

    FSM: A new finite sphere method for modeling 3D geometry of the prostate

  • Author

    Zaim, Amjad

  • Author_Institution
    Intell. & Bioinf. Comput. Sci. Dept., Univ. of Texas at Brownsville, Brownsville, TX
  • fYear
    2008
  • fDate
    12-15 Oct. 2008
  • Firstpage
    2956
  • Lastpage
    2959
  • Abstract
    Modeling the irregular three dimensional geometry of the prostate in 3D TRUS is an important task useful in a variety of clinical procedures of the prostate such as visualization, prostate volume estimation, treatment planning. Traditionally, the prostate volumetric shape has been often modeled with primitive shapes that oversimplify its complex and deformable structure. In this paper, we present a new model, we call it Finite Sphere Model or FSM, which is composed of variable-size spheres packed inside the prostate volume. This robust method accommodates different prostate shapes and does not need prior knowledge or shape approximation. First, the prostate region is extracted and isolated from the TRUS image. The algorithm applies morphological processing in order to obtain the medial axis of the prostate. Along the medial axis, the prostate space is searched for the optimal number of spheres that can be fitted inside its volume. Finally, small patches left by the algorithm are detected by masking the image with smaller discs until the filling criteria is satisfied. A number of experiments are used to verify the efficiency of the developed model.
  • Keywords
    biomedical imaging; cancer; DCTmod2 features; PCA-based classification; discrete pseudo 2-dimensional hidden Markov model; face recognition; facial feature hypotheses extraction; invariant curvature features; iterative closest point alignment; multistep alignment scheme; range images; vector quantization; Cancer; Computational geometry; Filling; Image segmentation; Robustness; Shape; Skeleton; Solid modeling; Ultrasonic imaging; Visualization; Finite Sphere Modeling; Mathematical Morphology; Transrectal Ultrasound; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on
  • Conference_Location
    San Diego, CA
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-1765-0
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2008.4712415
  • Filename
    4712415