• DocumentCode
    2493997
  • Title

    Bladder segmentation in MRI images using active region growing model

  • Author

    Garnier, Carole ; Ke, Wu ; Dillenseger, Jean-Louis

  • Author_Institution
    Lab. Traitement du Signal et de l´´Image, Univ. de Rennes 1, Rennes, France
  • fYear
    2011
  • fDate
    Aug. 30 2011-Sept. 3 2011
  • Firstpage
    5702
  • Lastpage
    5705
  • Abstract
    Prostate segmentation in MRI may be difficult at the interface with the bladder where the contrast is poor. Coupled-models that segment simultaneously both organs with non-overlapping constraints offer a good solution. As a pre-segmentation of the structures of interest is required, we propose in this paper a fast deformable model to segment the bladder. The combination of inflation and internal forces, locally adapted according to the gray levels, allow to deform the mesh toward the boundaries while overcoming the leakage issues that can occur at weak edges. The algorithm, evaluated on 33 MRI volumes from 5 different devices, has shown good performance providing a smooth and accurate surface.
  • Keywords
    biological organs; biomedical MRI; image segmentation; medical image processing; physiological models; MRI images; active region growing model; bladder segmentation; deformable model; prostate segmentation; Bladder; Deformable models; Force; Image segmentation; Magnetic resonance imaging; Shape; Tin; Algorithms; Computer Simulation; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Magnetic Resonance Imaging; Models, Anatomic; Models, Biological; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Urinary Bladder;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
  • Conference_Location
    Boston, MA
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4121-1
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2011.6091380
  • Filename
    6091380