Voxel-based modeling and quantification of the proximal femur using inter-subject registration of quantitative CT images
Open accessAbstract
We have developed a general framework which employs quantitative computed tomography (QCT) imaging and inter-subject image registration to model the three-dimensional structure of the hip, with the goal of quantifying changes in the spatial distribution of bone as it is affected by aging, drug treatment or mechanical unloading. We have adapted rigid and non-rigid inter-subject registration techniques to transform groups of hip QCT scans into a common reference space and to construct composite proximal femoral models. We have applied this technique to a longitudinal study of 16 astronauts who on average, incurred high losses of hip bone density during spaceflights of 4-6 months on the International Space Station (ISS). We compared the pre-flight and post-flight composite hip models, and observed the gradients of the bone loss distribution. We performed paired t-tests, on a voxel by voxel basis, corrected for multiple comparisons using false discovery rate (FDR), and observed regions inside the proximal femur that showed the most significant bone loss. To validate our registration algorithm, we selected the 16 pre-flight scans and manually marked 4 landmarks for each scan. After registration, the average distance between the mapped landmarks and the corresponding landmarks in the target scan was 2.56 mm. The average error due to manual landmark identification was 1.70 mm.
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Long-duration spaceflights induce bone mineral density (BMD) loss in weight-bearing bones, with considerable individual variability.
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- Authors
- Li, W., Kezele, I., Collins, D. L., Zijdenbos, A., Keyak, J., Kornak, J., Koyama, A., Saeed, I., LeBlanc, A., Harris, T., Lu, Y., & Lang, T.
- Affiliations
- University of California, San Francisco (US)
- Montreal Neurological Institute and Hospital (CA)
- University of California, Irvine (US)
- Universities Space Research Association (US)
- National Institutes of Health (US)
- Venue
- Bone
- Publisher
- Elsevier BV
- Published
- 2007-11
- Volume
- 41
- Issue
- 5
- Pages
- 888-895
- ISSN
- 1873-2763 (ISSN-L)
- 8756-3282
- PMC
- PMC2080679
- OpenAlex
- W2101224574
- Cited by
- 37
- References
- 19
- Citations by year
- 2022: 2 · 2021: 2 · 2020: 3 · 2019: 3 · 2018: 1 · 2017: 1 · 2016: 2 · 2015: 2 · 2013: 4 · 2012: 2
- FWCI
- 4.51
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Bone (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Aeronautics and Space Administration
- National Institutes of Health
- National Institute of Arthritis and Musculoskeletal and Skin Diseases (R42AR045713, R42-AR45713)
- Topics
- Health Sciences › Medicine › Orthopedics and Sports Medicine › Bone health and osteoporosis research
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
- Physical Sciences › Engineering › Biomedical Engineering › Medical Imaging and Analysis
- Keywords
- proximal femur, quantitative computed tomography, inter-subject registration, bone loss, spaceflight, astronauts, hip bone density, bone microarchitecture, non-rigid registration, false discovery rate
- MeSH terms
- Femur Head, Humans, Models, Anatomic, Tomography, X-Ray Computed, Bone Density
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