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Journal of Bone and Mineral Research, Volume 22, Issue S1, 1 September 2007, Pages s302–s351, https://doi.org/10.1002/jbmr.5650221408
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04 March 2010
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04 March 2010
Published:
04 March 2010
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ASBMR 29th Annual Meeting, Journal of Bone and Mineral Research, Volume 22, Issue S1, 1 September 2007, Pages s302–s351, https://doi.org/10.1002/jbmr.5650221408
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High‐Resolution CT Images Yield Accurate Microstructural Information if Processed by 3‐D Extensions of Standard Histomorphometric Analysis or Fuzzy Segmentation Approaches. A. Krebs1, C. Graeff1, L. Frieling*2, B. Kurz*3, W. Timm*4, C. C. Glüer1, 1Med. Phys., Diagn. Radiology, UKSH, Kiel, Germany, 2Osteoporose‐Praxis Neuer Wall, Hamburg, Germany, 3Anatomisches Institut, CAU, Kiel, Germany, 4Synarc, Hamburg, Germany.
In vivo assessment of trabecular bone microstructure is limited by image quality and radiation exposure. We investigated whether microstructural information can be accurately extracted from High Resolution CT (HRCT) images of human vertebrae.
Microstructural variables can be defined by 3‐D adaptation of 2‐D stereological methods used in histomorphometry. However, binarization of bone structures is affected by image resolution and image noise. Fuzzy segmentation approaches may overcome these limitations. For bone voxels exceeding a minimum gray level, a minimal weighted distance to the bone marrow background, named fuzzy distance, is calculated as measure of local thickness. A complementary process based on the marrow phase yields a measure of trabecular separation. Both the stereologic and the fuzzy methods were implemented on StructuralInsight, our imaging software developed in house and yield estimates of microstructural variables, defined analogously to histomorphometry, including bone volume fraction (BV/TV), trabecular thickness (Tb.Th), and trabecular separation (Tb.Sp).
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