Table 3.
Linear regressions of reconstruction error metrics vs. SNR. Linear correlation coefficient (r), slope, and p-value from the linear regressions of the angular error with respect to PSOCT and the RMSE in PDFs with respect to fully sampled data as a function of SNR. CS reconstructions used an acceleration factor of R=3 and high-SNR training data.
Angular error |
RMSE in PDFs |
||||||
---|---|---|---|---|---|---|---|
r | Slope (° per unit SNR) | p-value | r | Slope (% per unit SNR) | p-value | ||
| |||||||
FS-DSI | −0.45 | −0.25 | 0.051 | - | - | - | |
FS-DTI | −0.77 | −1.21 | 0.00011 | - | - | - | |
CS training | CS method | ||||||
Sample 1A | PCA | −0.67 | −0.36 | 0.0017 | −0.99 | −0.96 | 4.4 × 10−17 |
PINV | −0.84 | −0.43 | 7.0 × 10−6 | −0.99 | −0.79 | 9.7 × 10−17 | |
Sample 1B | PCA | −0.65 | −0.30 | 0.0028 | −0.99 | −0.81 | 3.2 × 10−16 |
PINV | −0.73 | −0.28 | 0.00038 | −0.99 | −0.70 | 1.8 × 10−16 | |
Sample 2 | PCA | −0.81 | −0.46 | 2.6 × 10−5 | −0.99 | −0.80 | 1.1 × 10−17 |
PINV | −0.81 | −0.35 | 2.4 × 10−5 | −0.99 | −0.66 | 6.9 × 10−17 |