Advancements in Imaging Techniques for Assessing Bone Health and Regeneration
A special issue of Bioengineering (ISSN 2306-5354). This special issue belongs to the section "Biosignal Processing".
Deadline for manuscript submissions: 31 December 2025 | Viewed by 3
Special Issue Editor
Interests: tissue biomineralization; infrared spectroscopy and hyperspectral imaging; bone tissue engineering and biomechanics; machine learning in bone spectroscopy and disease diagnosis
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The assessment of bone health and regeneration relies on advanced imaging techniques that provide critical insights into bone structure, composition, and function across multiple scales. From in vitro and preclinical research to clinical diagnostics, imaging technologies continue to evolve, offering improved resolution, sensitivity, and analytical capabilities. Emerging approaches, including multimodal imaging, high-resolution microscopy and tomography, hyperspectral imaging, and machine learning-driven image analysis, are transforming how we evaluate bone quality and fracture risk. These technologies are also enhancing the assessment of the efficacy of regenerative strategies, such as pharmacological therapies and biomaterials for tissue repair and regeneration.
This Special Issue aims to showcase recent advancements in imaging techniques for assessing bone health and regeneration. We welcome contributions that explore novel imaging methodologies, quantitative and qualitative assessments of bone structure, composition, and function, and computational approaches such as artificial intelligence and machine learning for image analysis. Studies spanning basic research, preclinical models, and clinical applications are encouraged.
Dr. William Querido
Guest Editor
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Keywords
- bone imaging techniques
- multimodal and spectral imaging
- high-resolution microscopy and tomography
- advanced bone histopathology
- bone composition and microarchitecture
- machine learning in biomedical imaging
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