From: Improving MR image quality with a multi-task model, using convolutional losses
SSIM | VIF | ||
---|---|---|---|
\(25\%\) | Original | \(\varvec{0.967\pm 0.036}\) | \(1.043\pm 0.058\) |
TV | \(\varvec{0.965\pm 0.036}\) | \(1.044\pm 0.056\) | |
Motion | \(\varvec{0.963\pm 0.033}\) | \(1.017\pm 0.045\) | |
MT | \(\varvec{0.959\pm 0.045}\) | \(1.031\pm 0.055\) | |
MT+\(\mathcal {L}_C\) | \(\varvec{0.963\pm 0.034}\) | \(\varvec{1.046\pm 0.046}\) | |
\(12.5\%\) | Original | \(0.944\pm 0.064\) | \(1.015\pm 0.094\) |
TV | \(0.938\pm 0.064\) | \(\varvec{1.065\pm 0.091}\) | |
Motion | \(\varvec{0.947\pm 0.045}\) | \(1.020\pm 0.046\) | |
MT | \(0.937\pm 0.065\) | \(1.042\pm 0.069\) | |
MT+\(\mathcal {L}_C\) | \(\varvec{0.945\pm 0.049}\) | \(1.047\pm 0.050\) | |
\(5\%\) | Original | \(0.908\pm 0.085\) | \(1.015\pm 0.111\) |
TV | \(0.903\pm 0.086\) | \(\varvec{1.1150\pm 0.108}\) | |
Motion | \(\varvec{0.923\pm 0.059}\) | \(1.020\pm 0.048\) | |
MT | \(0.910\pm 0.080\) | \(1.043\pm 0.080\) | |
MT+\(\mathcal {L}_C\) | \(\varvec{0.921\pm 0.063}\) | \(1.046\pm 0.053\) |