2016
DOI: 10.1016/j.joca.2015.09.006
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Surface roughness and thickness analysis of contrast-enhanced articular cartilage using mesh parameterization

Abstract: Cartilage analysis using parameterization effectively characterized early degeneration in AC, including sub-compartmental thickening/thinning, and is a powerful tool for assessing degeneration in preclinical osteoarthritis.

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Cited by 19 publications
(27 citation statements)
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References 26 publications
(26 reference statements)
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“…Furthermore, evaluation of AC surface roughness has been determined from image information obtained by ultrasound microscopy, intravascular ultrasound, and optical coherence tomography (OCT) . The most common clinically used imaging modality to quantify topography of degeneration is magnetic resonance imaging (MRI) . However, all these approaches have limitations.…”
mentioning
confidence: 99%
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“…Furthermore, evaluation of AC surface roughness has been determined from image information obtained by ultrasound microscopy, intravascular ultrasound, and optical coherence tomography (OCT) . The most common clinically used imaging modality to quantify topography of degeneration is magnetic resonance imaging (MRI) . However, all these approaches have limitations.…”
mentioning
confidence: 99%
“…As mentioned above, studies quantifying the micro‐topography of the AC surface have attempted to characterize the apparent simple surface of AC. Thus, in an orthogonal coordinate system, on the AC surface for every lateral coordinate ( x , y ), there is only one z‐value , where ( x , y , z ) represents a coordinate on AC surface (Fig.…”
mentioning
confidence: 99%
“…Femoral and tibial cartilage volumes were segmented from each 3D MRI stack in a blinded fashion using MATLAB (Mathworks Inc., Natick, MA). The MRI stack was resampled to 0.37 mm isotropic voxels and displayed in a custom multi‐plane viewing interface, and a volume of interest (VOI) composed of articular cartilage, the bone‐cartilage interface (BCI), and a thin layer of subchondral bone (excluding bone marrow) was manually outlined, as previously demonstrated for the isolation of articular cartilage . Briefly, a single author (KG) performed manual outlining of individual, spaced sagittal slices, and a morphing algorithm (MATLAB File Exchange, http://www.mathworks.com/matlabcentral/fileexchange/61313-morph-binary-images) was used to interpolate the slices between manually contoured slices to produce the 3D VOI.…”
Section: Methodsmentioning
confidence: 99%
“…Cartilage thickness maps were computed for each sample based on a previously described and validated algorithm . The overall process of mesh parameterization analysis is demonstrated in Figure .…”
Section: Methodsmentioning
confidence: 99%
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