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Table 1.

Patient characteristics.

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Fig 1.

Schematic overview of the workflow.

Experimental gait data was collected and processed using musculoskeletal modeling in order to calculate the cartilage contact force and pressure distribution. High resolution MR-images were captured and segmented to calculate thickness maps and to outline the cartilage on the T1ρ and T2 maps. Loading parameters were correlated with the peak and mean thickness, mean T1ρ relaxation time and mean T2 relaxation time to explore the relation between localized loading and cartilage thickness and composition.

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Fig 1 Expand

Table 2.

Overview of the MRI sequence parameters.

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Table 3.

Average and standard deviations of all loading variables.

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Table 4.

Significant correlations between cartilage thickness and the loading parameters.

Spearman correlation coefficient and p-value are given.

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Fig 2.

Local correlations between cartilage pressure and thickness.

(A) Average thickness distribution of all subjects, (B) Average pressure map of the first peak, (D) Average pressure map of the second peak. (C & E) Correlation map of the correlations between the mesh face specific thickness and pressure. (C) Shows the correlations at the first peak, (E) shows the correlations at the second peak.

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Fig 2 Expand

Table 5.

Significant correlations between average T1ρ relaxation time and the loading parameters.

Spearman correlation coefficient and p-value are given.

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Table 5 Expand