Quantifying Subresolution 3D Morphology of Bone with Clinical Computed Tomography

Research output: Contribution to journalArticleScientificpeer-review

Researchers

  • S. S. Karhula
  • M. A. J. Finnila
  • S. J. O. Rytky
  • D. M. Cooper
  • J. Thevenot
  • M. Valkealahti
  • K. P. H. Pritzker
  • M. Haapea
  • A. Joukainen
  • P. Lehenkari
  • H. Kroger
  • R. K. Korhonen
  • H. J. Nieminen
  • S. Saarakkala

Research units

  • Univ Oulu, University of Oulu, Infotech
  • University of Oulu
  • Univ Saskatchewan, University of Saskatchewan, Dept Anat Physiol & Pharmacol
  • Oulu Univ Hosp, University of Oulu, Dept Surg & Intens Care
  • Mt Sinai Hosp, University of Toronto, Sinai Health System Toronto
  • Kuopio Univ Hosp, Kuopio University Hospital, University of Eastern Finland, Dept Orthopaed Traumatol & Hand Surg
  • Univ Oulu, University of Oulu, Dept Anat & Cell Biol
  • University of Eastern Finland
  • Univ Oulu, University of Oulu, Med Res Ctr
  • Oulu Univ Hosp, University of Oulu, Dept Diagnost Radiol

Abstract

The aim of this study was to quantify sub-resolution trabecular bone morphometrics, which are also related to osteoarthritis (OA), from clinical resolution cone beam computed tomography (CBCT). Samples (n = 53) were harvested from human tibiae (N = 4) and femora (N = 7). Grey-level co-occurrence matrix (GLCM) texture and histogram-based parameters were calculated from CBCT imaged trabecular bone data, and compared with the morphometric parameters quantified from micro-computed tomography. As a reference for OA severity, histological sections were subjected to OARSI histopathological grading. GLCM and histogram parameters were correlated to bone morphometrics and OARSI individually. Furthermore, a statistical model of combined GLCM/histogram parameters was generated to estimate the bone morphometrics. Several individual histogram and GLCM parameters had strong associations with various bone morphometrics (|r| > 0.7). The most prominent correlation was observed between the histogram mean and bone volume fraction (r = 0.907). The statistical model combining GLCM and histogram-parameters resulted in even better association with bone volume fraction determined from CBCT data (adjusted R-2 change = 0.047). Histopathology showed mainly moderate associations with bone morphometrics (|r| > 0.4). In conclusion, we demonstrated that GLCM- and histogram-based parameters from CBCT imaged trabecular bone (ex vivo) are associated with sub-resolution morphometrics. Our results suggest that sub-resolution morphometrics can be estimated from clinical CBCT images, associations becoming even stronger when combining histogram and GLCM-based parameters.

Details

Original languageEnglish
Number of pages11
JournalAnnals of Biomedical Engineering
Publication statusPublished - 3 Oct 2019
MoE publication typeA1 Journal article-refereed

    Research areas

  • Grey-level co-occurrence matrix, Textural analysis, Micro-computed tomography, Cone beam computed tomography, Imaging, Osteoarthritis, HUMAN TRABECULAR BONE, ARTICULAR-CARTILAGE, PLAIN RADIOGRAPHS, OSTEOARTHRITIS, MICRO, CT, MICROARCHITECTURE, DENSITY, LESIONS, MODEL

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