A fully automated trabecular bone structural analysis tool based on T2* -weighted magnetic resonance imaging

Markus Kraiger, Petros Martirosian, Peter Opriessnig, Frank Eibofner, Hansjoerg Rempp, Michael Hofer, Fritz Schick, Rudolf Stollberger

Research output: Contribution to journalArticle

Abstract

One major source affecting the precision of bone structure analysis in quantitative magnetic resonance imaging (qMRI) is inter- and intraoperator variability, inherent in delineating and tracing regions of interest along longitudinal studies. In this paper an automated analysis tool, featuring bone marrow segmentation, region of interest generation, and characterization of cancellous bone of articular joints is presented. In evaluation studies conducted at the knee joint the novel analysis tool significantly decreased the standard error of measurement and improved the sensitivity in detecting minor structural changes. It further eliminated the need of time-consuming user interaction, and thereby increasing reproducibility.

Original languageEnglish
Pages (from-to)85-94
Number of pages10
JournalComputerized medical imaging and graphics
Volume36
Issue number2
DOIs
Publication statusPublished - Mar 2012

Keywords

  • Adult
  • Algorithms
  • Female
  • Femur
  • Humans
  • Image Enhancement
  • Image Interpretation, Computer-Assisted
  • Knee Joint
  • Magnetic Resonance Imaging
  • Male
  • Middle Aged
  • Pattern Recognition, Automated
  • Reproducibility of Results
  • Sensitivity and Specificity
  • Software
  • Tibia
  • Journal Article
  • Research Support, Non-U.S. Gov't

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