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Quantifying Subresolution 3D Morphology of Bone with Clinical Computed Tomography.

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 R2 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.

SUBMITTER: Karhula SS

PROVIDER: S-EPMC6949315 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature

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Quantifying Subresolution 3D Morphology of Bone with Clinical Computed Tomography.

Karhula S S SS Finnilä M A J MAJ Rytky S J O SJO Cooper D M DM Thevenot J J Valkealahti M M Pritzker K P H KPH Haapea M M Joukainen A A Lehenkari P P Kröger H H Korhonen R K RK Nieminen H J HJ Saarakkala S S

Annals of biomedical engineering 20191003 2

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 r ...[more]

PMID: 31583552

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Dataset Information

Quantifying Subresolution 3D Morphology of Bone with Clinical Computed Tomography.

Publications

Quantifying Subresolution 3D Morphology of Bone with Clinical Computed Tomography.

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