Voxel-based density registration of trabecular bone: a longitudinal HR-pQCT study of postmenopausal women
Bone mineral density (BMD) is one of the important parameters used to characterise bone quality. Clinically, the only recommended method - dual X-ray absorptiometry - can only evaluate a two-dimensional areal BMD. Currently, three-dimensional localised BMD information is absent. HR-pQCT enables the assessments of 3D microstructure down to trabecular bone. Therefore, in this study, a voxel-based density registration (VDR) method is proposed to analyse the longitudinal changes of trabecular-bone density distribution. The VDR techniques were evaluated based on a six-month longitudinal study of five postmenopausal women. The time effect on localised changes of trabecular-bone mineral density was visualized and variations between different anatomical regions were quantified for the first time. Different distributions between anatomical regions were found in bone mineral density of trabecular bone (vBMDtrab), with a change of vBMDtrab at medial region (-0.56%) significantly higher than anterior (-1.58%) (p = 0.032). This study indicates that localised density changes might be used as a prior indicator for the effect of aging or other interventions.
Funding
Loughborough University Health & Wellbeing Research Challenge Seed Corn
History
School
- Mechanical, Electrical and Manufacturing Engineering
Published in
ECCOMAS Congress 2022 - 8th European Congress on Computational Methods in Applied Sciences and EngineeringSource
8th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS Congress 2022)Publisher
CIMNE (International Centre for Numerical Methods in Engineering)Version
- VoR (Version of Record)
Rights holder
© The authorsPublisher statement
This is an Open Access Article. It is published by CIMNE under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International Licence (CC BY-NC-SA). Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-sa/4.0/Acceptance date
2022-11-24Publication date
2022-11-24Copyright date
2022ISBN
9788412322286eISSN
2696-6999Publisher version
Language
- en