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High resolution cortical bone thickness measurement from clinical CT data.
- Source :
-
Medical image analysis [Med Image Anal] 2010 Jun; Vol. 14 (3), pp. 276-90. Date of Electronic Publication: 2010 Jan 25. - Publication Year :
- 2010
-
Abstract
- The distribution of cortical bone in the proximal femur is believed to be a critical component in determining fracture resistance. Current CT technology is limited in its ability to measure cortical thickness, especially in the sub-millimetre range which lies within the point spread function of today's clinical scanners. In this paper, we present a novel technique that is capable of producing unbiased thickness estimates down to 0.3mm. The technique relies on a mathematical model of the anatomy and the imaging system, which is fitted to the data at a large number of sites around the proximal femur, producing around 17,000 independent thickness estimates per specimen. In a series of experiments on 16 cadaveric femurs, estimation errors were measured as -0.01+/-0.58mm (mean+/-1std.dev.) for cortical thicknesses in the range 0.3-4mm. This compares with 0.25+/-0.69mm for simple thresholding and 0.90+/-0.92mm for a variant of the 50% relative threshold method. In the clinically relevant sub-millimetre range, thresholding increasingly fails to detect the cortex at all, whereas the new technique continues to perform well. The many cortical thickness estimates can be displayed as a colour map painted onto the femoral surface. Computation of the surfaces and colour maps is largely automatic, requiring around 15min on a modest laptop computer.<br /> (Copyright (c) 2010 Elsevier B.V. All rights reserved.)
- Subjects :
- Adult
Aged, 80 and over
Algorithms
Computer Simulation
Female
Humans
Male
Models, Biological
Pattern Recognition, Automated methods
Radiographic Image Enhancement methods
Reproducibility of Results
Sensitivity and Specificity
Bone Density
Femoral Fractures diagnostic imaging
Femur diagnostic imaging
Femur injuries
Imaging, Three-Dimensional methods
Radiographic Image Interpretation, Computer-Assisted methods
Tomography, X-Ray Computed methods
Subjects
Details
- Language :
- English
- ISSN :
- 1361-8423
- Volume :
- 14
- Issue :
- 3
- Database :
- MEDLINE
- Journal :
- Medical image analysis
- Publication Type :
- Academic Journal
- Accession number :
- 20163980
- Full Text :
- https://doi.org/10.1016/j.media.2010.01.003