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Image Search Results
Journal: Journal of biomechanical engineering
Article Title: Accuracy of 3D Cartilage Models Generated From MR Images Is Dependent on Cartilage Thickness: Laser Scanner Based Validation of In Vivo Cartilage
doi: 10.1115/1.4000087
Figure Lengend Snippet: Summary of previous studies on the accuracy of MRI-derived 3D cartilage models
Article Snippet: The cartilage surface was scanned on a rotating table using a
Techniques:
Journal: Journal of biomechanical engineering
Article Title: Accuracy of 3D Cartilage Models Generated From MR Images Is Dependent on Cartilage Thickness: Laser Scanner Based Validation of In Vivo Cartilage
doi: 10.1115/1.4000087
Figure Lengend Snippet: The schematic description of creating 3D cartilage models from two laser-scan data sets. Cartilage surface and bone surface were scanned along with features on platform and registered to each other using the platform features to obtain actual shape of cartilage.
Article Snippet: The cartilage surface was scanned on a rotating table using a
Techniques:
Journal: Journal of biomechanical engineering
Article Title: Accuracy of 3D Cartilage Models Generated From MR Images Is Dependent on Cartilage Thickness: Laser Scanner Based Validation of In Vivo Cartilage
doi: 10.1115/1.4000087
Figure Lengend Snippet: (a) Thickness maps calculated from a MR image-based 3D model and a laser-scan based 3D models. Dark blue represents the thickest cartilage and dark red represents the thinnest cartilage as shown in the color bar. (b) Difference maps were calculated by subtracting the thickness maps from the laser-scan based 3D model from the MR image-based 3D model. Thus blue regions represent thickness overestimation in MR image-based 3D models, green regions show the same estimation, and red regions represent underestimation. The letters A, P, M, and L in boxes represent anterior, posterior, medial, and lateral, respectively.
Article Snippet: The cartilage surface was scanned on a rotating table using a
Techniques: