Skip to main content
. Author manuscript; available in PMC: 2021 Dec 1.
Published in final edited form as: Neuroimage. 2021 Sep 26;244:118621. doi: 10.1016/j.neuroimage.2021.118621

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