| Title: | A Spatio-Temporal Ageing Atlas of the Proximal Femur |
| Journal: | IEEE Transactions on Medical Imaging |
| Published: | 23 Oct 2019 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/31647421/ |
| DOI: | https://doi.org/10.1109/tmi.2019.2945219 |
| URL: | https://ieeexplore.ieee.org/ielx7/42/9084068/08880676.pdf |
Publication 7341
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Abstract
Osteoporosis is an age-associated disease characterised by low bone mineral density (BMD) and micro-architectural deterioration leading to enhanced fracture risk. Conventional dual-energy X-ray absorptiometry (DXA) analysis has facilitated our understanding of BMD reduction in specific regions of interest (ROIs) within the femur, but cannot resolve spatial BMD patterns nor reflect age-related changes in bone microarchitecture due to its inherent averaging of pixel BMD values into large ROIs. To address these limitations and develop a comprehensive model of involutional bone loss, this paper presents a fully automatic pipeline to build a spatio-temporal atlas of ageing bone in the proximal femur. A new technique, termed DXA region free analysis (DXA RFA), is proposed to eliminate morphological variation between DXA scans by warping each image into a reference template. To construct the atlas, we use unprocessed DXA data from Caucasian women aged 20-97 years participating in three cohort studies in Western Europe ( ,000). A novel calibration procedure, termed quantile matching regression, is proposed to integrate data from different DXA manufacturers. Pixel-wise BMD evolution with ageing was modelled using smooth quantile curves. This technique enables characterisation of spatially-complex BMD change patterns with ageing, visualised using heat-maps. Furthermore, quantile curves plotted at different pixel coordinates showed consistently different rates of bone loss at different regions within the femoral neck. Given the close relationship between spatio-temporal bone loss and osteoporotic fracture, improved understanding of the bone ageing process could lead to enhanced prognostic, preventive and therapeutic strategies for the disease.7 Authors
- Mohsen Farzi
- Jose M. Pozo
- Eugene McCloskey
- Richard Eastell
- Nicholas Harvey
- J. Mark Wilkinson
- Alejandro F. Frangi
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