Wavelet based characterization of ex vivo vertebral trabecular bone structure with 3T MRI compared to microCT Metadata

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  • Main Title Wavelet based characterization of ex vivo vertebral trabecular bone structure with 3T MRI compared to microCT


  • Author: Krug, R.
    Creator Type: Personal
  • Author: Carballido-Gamio, J.
    Creator Type: Personal
  • Author: Burghardt, A.
    Creator Type: Personal
  • Author: Haase, S.
    Creator Type: Personal
  • Author: Sedat, J. W.
    Creator Type: Personal
  • Author: Moss, W. C.
    Creator Type: Personal
  • Author: Majumdar, S.
    Creator Type: Personal


  • Sponsor: United States. Department of Energy.
    Contributor Type: Organization


  • Name: Lawrence Livermore National Laboratory
    Place of Publication: Livermore, California
    Additional Info: Lawrence Livermore National Laboratory (LLNL), Livermore, CA


  • Creation: 2005-04-11


  • English


  • Content Description: Trabecular bone structure and bone density contribute to the strength of bone and are important in the study of osteoporosis. Wavelets are a powerful tool to characterize and quantify texture in an image. In this study the thickness of trabecular bone was analyzed in 8 cylindrical cores of the vertebral spine. Images were obtained from 3 Tesla (T) magnetic resonance imaging (MRI) and micro-computed tomography ({micro}CT). Results from the wavelet based analysis of trabecular bone were compared with standard two-dimensional structural parameters (analogous to bone histomorphometry) obtained using mean intercept length (MR images) and direct 3D distance transformation methods ({micro}CT images). Additionally, the bone volume fraction was determined from MR images. We conclude that the wavelet based analyses delivers comparable results to the established MR histomorphometric measurements. The average deviation in trabecular thickness was less than one pixel size between the wavelet and the standard approach for both MR and {micro}CT analysis. Since the wavelet based method is less sensitive to image noise, we see an advantage of wavelet analysis of trabecular bone for MR imaging when going to higher resolution.
  • Physical Description: 6 p. (0.3 MB)


  • Keyword: Texture
  • Keyword: Thickness
  • STI Subject Categories: 59 Basic Biological Sciences
  • Keyword: Biology
  • Keyword: Magnetic Resonance
  • Keyword: Trabecular Bone
  • Keyword: Tomography
  • Keyword: Medicine
  • Keyword: Transformations
  • Keyword: Resolution
  • Keyword: Osteoporosis


  • Conference: Presented at: IEEE Engineering in Medicine and Biology, Shanghai, China, Sep 01 - Sep 05, 2005


  • Name: Office of Scientific & Technical Information Technical Reports
    Code: OSTI


  • Name: UNT Libraries Government Documents Department
    Code: UNTGD

Resource Type

  • Article


  • Text


  • Report No.: UCRL-CONF-211339
  • Grant Number: W-7405-ENG-48
  • Office of Scientific & Technical Information Report Number: 918413
  • Archival Resource Key: ark:/67531/metadc890836


  • Display Note: PDF-file: 6 pages; size: 0.3 Mbytes