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. Author manuscript; available in PMC: 2023 Feb 1.
Published in final edited form as: IEEE Trans Biomed Eng. 2022 Jan 20;69(2):537–546. doi: 10.1109/TBME.2021.3100745

Fig. 3.

Fig. 3.

(a) Cranial shape fitting error using radial basis functions. (b) Average control point scale for each subject in the cross-sectional dataset (in blue) together with the regressed scale (in orange). (c) Temporal coefficients in matrix B estimated at a resolution of 8 months (big circles) and their interpolated values used to initialize training at a resolution of 2 months (dots). Orange represents the first component, blue the second and green the third component. (d) Temporal coefficients estimated for the first three components in matrix B at different temporal resolutions. Circles correspond to a resolution of 8 months, crosses correspond to 2 months, and continuous lines represent a resolution of 5 days. (e) Predictive error evaluated in the longitudinal dataset. Red represents the results obtained with the proposed method, and black a green are the results from the traditional regression model and the PCA-based regression, respectively. The continuous and dotted lines represent the regressed average error and the range of one standard deviation, respectively. The horizontal axis in (b)-(e) represents the age in months.