ArticleJBMR plus2026
Improved segmentation accuracy in high-resolution peripheral quantitative computed tomography scans of carpal bones using adaptive local thresholding.
Article in JBMR plus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Abstract
The choice of segmentation method for HR-pQCT scans influences accuracy of bone microarchitecture measurements. Smaller or under-mineralized bone can present challenges in accurate extraction of bone structure using global thresholding methods, as local variations in intensity are not considered and finer structural details are not detected. This is especially important in small hand bones, where bone structure is finer, or younger populations, where bone tissue may be under mineralized. This study compared accuracy of global thresholding methods using Gaussian and Laplace-Hamming filters, and an adaptive local thresholding (AT) method in HR-pQCT scans of carpal bones. Eight ex vivo human cadaveric forearms (
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