Generation of a 3D proximal femur shape from a single projection 2D radiographic image
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Generalized Procrustes analysis and thin plate splines were employed to create an average 3D shape template of the proximal femur that was warped to the size and shape of a single 2D radiographic image of a subject. Mean absolute depth errors are comparable with previous approaches utilising multiple 2D input projections.
Several approaches have been adopted to derive volumetric density (g cm-3) from a conventional 2D representation of areal bone mineral density (BMD, g cm-2). Such approaches have generally aimed at deriving an average depth across the areal projection rather than creating a formal 3D shape of the bone.
Generalized Procrustes analysis and thin plate splines were employed to create an average 3D shape template of the proximal femur that was subsequently warped to suit the size and shape of a single 2D radiographic image of a subject. CT scans of excised human femora, 18 and 24 scanned at pixel resolutions of 1.08 mm and 0.674 mm, respectively, were equally split into training (created 3D shape template) and test cohorts.
The mean absolute depth errors of 3.4 mm and 1.73 mm, respectively, for the two CT pixel sizes are comparable with previous approaches based upon multiple 2D input projections.
This technique has the potential to derive volumetric density from BMD and to facilitate 3D finite element analysis for prediction of the mechanical integrity of the proximal femur. It may further be applied to other anatomical bone sites such as the distal radius and lumbar spine.
- Generation of a 3D proximal femur shape from a single projection 2D radiographic image
Volume 20, Issue 3 , pp 455-461
- Cover Date
- Print ISSN
- Online ISSN
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- Geometric morphometrics
- Proximal femur
- Three-dimensional shape
- Volumetric density
- Industry Sectors
- Author Affiliations
- 1. Centre for Metabolic Bone Disease, Hull Royal Infirmary, Hull, UK
- 2. Postgraduate Medical Institute, University of Hull, Hull, UK
- 5. Medical Physics, Queensland University of Technology, Brisbane, QLD 4001, Australia
- 3. Department of Computer Science, University of Hull, Hull, UK
- 4. Department of Orthopaedic Surgery, University of California, Irvine, USA