Advancements in High-Resolution Computed Tomography: Revolutionising Bone Health Micro-Research

Bone disorders such as osteoporosis, osteopenia, and osteoarthritis affect millions worldwide, creating an urgent need for earlier and more accurate assessment of bone health. High-resolution imaging has transformed this field: micro-computed tomography remains the research gold standard for ex vivo and preclinical studies, while high-resolution peripheral quantitative computed tomography enables in vivo clinical assessment of trabecular and cortical bone microarchitecture. Combined with finite element analysis and machine learning, these modalities enable biomechanical modelling, predictive risk stratification, and progress toward personalised treatment. Remaining challenges include cost, limited availability, motion artefacts, and lack of standardisation. This review summarises current advances in imaging and computational methods, highlights their respective strengths and limitations, and outlines future directions required to translate these technologies into routine clinical practice.

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Publication Details

Journal
Bioengineering
Published
2025-10-31
DOI
https://doi.org/10.3390/bioengineering12111189
Citations
1
Primary Topic
Bone health and osteoporosis research
Type
article
Field-Weighted Citation Impact
1.72
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Advancements in High-Resolution Computed Tomography: Revolutionising Bone Health Micro-Research

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Advancements in High-Resolution Computed Tomography: Revolutionising Bone Health Micro-Research

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article en
1 citations

Abstract

Bone disorders such as osteoporosis, osteopenia, and osteoarthritis affect millions worldwide, creating an urgent need for earlier and more accurate assessment of bone health. High-resolution imaging has transformed this field: micro-computed tomography remains the research gold standard for ex vivo and preclinical studies, while high-resolution peripheral quantitative computed tomography enables in vivo clinical assessment of trabecular and cortical bone microarchitecture. Combined with finite element analysis and machine learning, these modalities enable biomechanical modelling, predictive risk stratification, and progress toward personalised treatment. Remaining challenges include cost, limited availability, motion artefacts, and lack of standardisation. This review summarises current advances in imaging and computational methods, highlights their respective strengths and limitations, and outlines future directions required to translate these technologies into routine clinical practice.

BioengineeringVol. 12(11)
Innsbruck Medical University (AT), Universität Innsbruck (AT)
Openalex Percentile: Top 13%
Bone health and osteoporosis research
1.72
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