• DocumentCode
    3484135
  • Title

    Segmentation of trabecular bones from Vertebral bodies in volumetric CT spine images

  • Author

    Aslan, Melih S. ; Ali, Asem ; Arnold, Ben ; Fahmi, Rachid ; Farag, Aly A. ; Xiang, Ping

  • Author_Institution
    Comput. Vision & Image Process. Lab., Univ. of Louisville, Louisville, KY, USA
  • fYear
    2009
  • fDate
    7-10 Nov. 2009
  • Firstpage
    3385
  • Lastpage
    3388
  • Abstract
    We present a 3D segmentation technique of trabecular (cancellous) bones in CT images of Vertebral bodies (VBs). In order to be used for Bone Mineral Density (BMD) measurements, the cortical and trabecular bones are subsequently segmented using graph cuts method and local volume growing methods separately. In the final step, we measure our segmentation accuracy for each method. Validity was analyzed using ground truths of data sets and the European Spine Phantom (ESP). Preliminary results are very encouraging and a reproducibility of the results was achieved for 16 data sets. The average segmentation error is below 2.0% for both methods.
  • Keywords
    bone; computerised tomography; density measurement; image segmentation; medical image processing; neurophysiology; phantoms; 3D segmentation technique; European spine phantom; bone mineral density measurements; cortical bones; data sets ground truths; graph cuts method; trabecular bones segmentation; vertebral bodies; volume growing methods; volumetric CT spine images; Cancellous bone; Computed tomography; Density measurement; Electrostatic precipitators; Image segmentation; Imaging phantoms; Labeling; Minerals; Spine; Timing; 3D Segmentation; Bone Mineral Density; Spine column; segmentation accuracy; trabecular bone;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2009 16th IEEE International Conference on
  • Conference_Location
    Cairo
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-5653-6
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2009.5413887
  • Filename
    5413887