Surface characterization of degenerated articular cartilage surface by contrast- enhanced micro-computed tomography T.J. Ylitalo, M. Finnilä, S. Karhula,

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Presentation transcript:

Surface characterization of degenerated articular cartilage surface by contrast- enhanced micro-computed tomography T.J. Ylitalo, M. Finnilä, S. Karhula, E. Hæggström, K.P. Pritzker, S. Saarakkala, H.J. Nieminen Osteoarthritis and Cartilage Volume 23, Pages A249-A250 (April 2015) DOI: 10.1016/j.joca.2015.02.456 Copyright © 2015 Terms and Conditions

Figure 1. Segmentation was conducted by first applying 5×5×5 3D Gaussian filter (SD = 1.1 voxels) to the image stack to remove noise and then subjecting the stack to C-Means segmentation to separate sample from the background (sample probability: 0.67). Erroneously segmented volumes were removed with two phase despeckle operation. Sample AC Surface was detected as first sample voxel from the AC side of the sample when approaching from direction perpendicular to AC surface (ROI: approx. 1200 × 900 μm rectangular area). Steps were 2-5 were conducted using a custom-made C++ program and step 6 with a custom-made Matlab (version 2014) program. Osteoarthritis and Cartilage 2015 23, A249-A250DOI: (10.1016/j.joca.2015.02.456) Copyright © 2015 Terms and Conditions

Osteoarthritis and Cartilage 2015 23, A249-A250DOI: (10. 1016/j. joca Copyright © 2015 Terms and Conditions