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Genovis Inc
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MathWorks Inc
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MicaSense Inc
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Mindways Software
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CH Instruments
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BioTherapeutics Inc
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MicaSense Inc
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Straumann GmbH
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Infors AG
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ASHRAE Inc
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Planton GmbH
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AVL Pierburg Instruments
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Image Search Results
Journal: Journal of Orthopaedic Research
Article Title: Internal Density Calibration in the Proximal Humerus to Estimate Bone Stiffness for Stemless Shoulder Arthroplasty
doi: 10.1002/jor.70143
Figure Lengend Snippet: Density calibration methods for QCT image analysis. (a) Phantom calibration. K2HPO4 can be seen at the base of the image. Each rod is manually segmented 10 slices from each end and then interpolated (ITK‐SNAP) to establish the linear conversion between HU and K 2 HPO 4 density using the highest (teal) and lowest (red) densities . (b) Internal calibration. Referent tissues of air (yellow), adipose (red), and skeletal muscle (teal) were segmented manually at the level of the proximal humerus. Cortical bone (blue) was thresholded to determine the highest HU value (which is essential for establishing the HU‐density conversion).
Article Snippet: Single‐energy CT images from thirty‐nine nonpathologic cadaveric shoulder specimens were selected from our pre‐existing lab database based on the criteria of containing a liquid
Techniques:
Journal: Journal of Orthopaedic Research
Article Title: Internal Density Calibration in the Proximal Humerus to Estimate Bone Stiffness for Stemless Shoulder Arthroplasty
doi: 10.1002/jor.70143
Figure Lengend Snippet: Comparing calibration techniques. (a) Linear regression showing correlation between vBMD (mgK 2 HPO 4 /cm 3 ) from internal calibration according to tissue combination relative to phantom calibration ( n = 39). (b) Bland–Altman plot for vBMD (mgK 2 HPO 4 /cm 3 ) for internal calibration according to tissue combination relative to phantom calibration ( n = 39).
Article Snippet: Single‐energy CT images from thirty‐nine nonpathologic cadaveric shoulder specimens were selected from our pre‐existing lab database based on the criteria of containing a liquid
Techniques: