• DocumentCode
    2721791
  • Title

    Texture analysis in quantitative osteoporosis assessment: Characterizing microarchitecture

  • Author

    Valentinitsch, Alexander ; Patsch, Janina ; Mueller, Dirk ; Kainberger, Franz ; Langs, Georg

  • Author_Institution
    Comput. Image Anal. & Radiol. Lab., Med. Univ. of Vienna, Vienna, Austria
  • fYear
    2010
  • fDate
    14-17 April 2010
  • Firstpage
    1361
  • Lastpage
    1364
  • Abstract
    The microarchitecture of the trabecular bone is an highly informative feature for osteoporosis assessment. High resolution peripheral quantitative computed tomography permits its in-vivo observation at a resolution of 82 μm. In this paper we propose an approach that assesses bone microarchitecture based on texture features extracted from the trabecular bone. The method is based on three-dimensional texture features as local descriptors of the structure in the trabecular bone. A clustering in the feature space indicates characteristic classes of microarchitecture that are repeatedly detected across subjects. The distribution of those classes allows for a differentiation between osteoporotic and healthy subjects. We report initial results for the repeatability of the method and its performance for the differentiation of healthy and osteoporotic subjects.
  • Keywords
    bone; computerised tomography; feature extraction; image texture; 3D texture analysis; high resolution peripheral quantitative computed tomography; microarchitecture; quantitative osteoporosis assessment; trabecular bone; Biomedical imaging; Bone diseases; Cancellous bone; Computed tomography; Data mining; Feature extraction; Image analysis; Image texture analysis; Microarchitecture; Osteoporosis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging: From Nano to Macro, 2010 IEEE International Symposium on
  • Conference_Location
    Rotterdam
  • ISSN
    1945-7928
  • Print_ISBN
    978-1-4244-4125-9
  • Electronic_ISBN
    1945-7928
  • Type

    conf

  • DOI
    10.1109/ISBI.2010.5490250
  • Filename
    5490250