Cancellous bone volume and structure in the forearm: Noninvasive assessment with MR microimaging and image processing

Felix W. Wehrli, Scott N. Hwang, Jingfei Ma, Hee Kwon Song, John C. Ford, John G. Haddad

Research output: Contribution to journalArticle

160 Scopus citations

Abstract

PURPOSE: To develop and apply a method for the derivation of cancellous bone architectural parameters from in vivo magnetic resonance (MR) images of the distal radius and to evaluate these parameters predictors of vertebral fracture status in osteopenia. MATERIALS AND METHODS: MR images (137 x 137 x 500 μm3 voxel size) were acquired with a three-dimensional partial flip- angle spin-echo pulse sequence in the distal radius of 3 women. Subjects were classified as healthy or with osteoporosis on the basis of vertebral deformity and bone mineral density (BMD). Images rated as of adequate quality in 20 subjects were processed with a method that is applicable in the limited spatial resolution regime. The method relies on histogram deconvolution to obviate binary segmentation. Cancellous bone structure was treated as a quasi-regular lattice and analyzed with spatial autocorrelation yielding parameters that quantify intertrabecular spacing, contiguity, and a measure of longitudinal alignment called tubularity. RESULTS: Whereas neither BMD nor any of the structural parameters individually correlated significantly with vertebral deformity fraction a simple function that involved tubularity and longitudinal spacing predicted deformity fraction well (r = 78, P < .005). CONCLUSION: Histomorphometric parameters characterizing cancellous bone in the distal radius can be derived from in vivo MR microimages and are predictive of vertebral deformity.

Original languageEnglish (US)
Pages (from-to)347-357
Number of pages11
JournalRadiology
Volume206
Issue number2
DOIs
StatePublished - Feb 1998
Externally publishedYes

Keywords

  • Bones, MR
  • Bones, measurement
  • Images, analysis
  • Osteoporosis
  • Radius
  • Spine, fractures

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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