• DocumentCode
    1771879
  • Title

    Atlas-free brain segmentation in 3D proton-density-like MRI images

  • Author

    Schmitter, Daniel ; Delgado-Gonzalo, Ricard ; Krueger, Gunnar ; Unser, Michael

  • Author_Institution
    Biomed. Imaging Group, Ecole Polytech. Fed. de Lausanne, Lausanne, Switzerland
  • fYear
    2014
  • fDate
    April 29 2014-May 2 2014
  • Firstpage
    629
  • Lastpage
    632
  • Abstract
    We present a new method for the atlas-free brain segmentation of proton-density-like 3D MRI images. We show how steerable filters can be efficiently combined with parametric spline surfaces to produce a fast and robust 3D brain segmentation algorithm. The novelty lies in the computation of brain edge maps through optimal steerable surface detectors which provide efficient energies for the rapid optimization of snakes. Our experimental results show the promising potential of the method for fast and accurate brain extraction.
  • Keywords
    biomedical MRI; brain; feature extraction; filtering theory; image segmentation; medical image processing; splines (mathematics); 3D brain segmentation; 3D proton-density-like MRI images; atlas-free brain segmentation; brain edge maps; brain extraction; parametric spline surfaces; steerable filters; steerable surface detectors; Detectors; Image edge detection; Image segmentation; Optimization; Robustness; Splines (mathematics); Three-dimensional displays; active contours; atlas-free; brain segmentation; spline snake; steerable filter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging (ISBI), 2014 IEEE 11th International Symposium on
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/ISBI.2014.6867949
  • Filename
    6867949