TABLE II.
Effectiveness of the LeqMod in PET image denoising, across multiple vendors and varying levels of noise. Metrics include NRMSE, PSNR, SSIM, lesion SUVmean bias, SUVmax bias, and TLG bias.
| Scanner | Quadra | uExplorer | mCT | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
| |||||||||||||||
| count level | 1% | 2% | 5% | 10% | 25% | 50% | 1% | 2% | 5% | 10% | 25% | 50% | 5% | 10% | 20% |
|
| |||||||||||||||
|
NRMSE (↓)
| |||||||||||||||
| low-count | 0.848 | 0.562 | 0.351 | 0.253 | 0.159 | 0.096 | 1.863 | 1.064 | 0.621 | 0.441 | 0.266 | 0.160 | 1.151 | 0.784 | 0.521 |
|
| |||||||||||||||
| w/o | 0.278 | 0.237 | 0.211 | 0.193 | 0.130 | 0.096 | 0.568 | 0.464 | 0.404 | 0.296 | 0.220 | 0.162 | 0.519 | 0.438 | 0.350 |
| w | 0.267 † | 0.223 † | 0.196 † | 0.174 † | 0.125 † | 0.088 † | 0.541 † | 0.436 † | 0.387 † | 0.286 † | 0.209 † | 0.147 † | 0.510 † | 0.427 † | 0.342 † |
|
| |||||||||||||||
|
PSNR (↑)
| |||||||||||||||
| low-count | 53.496 | 53.491 | 53.145 | 54.601 | 57.767 | 61.920 | 42.709 | 44.554 | 47.718 | 50.062 | 53.933 | 58.116 | 44.487 | 46.325 | 48.944 |
|
| |||||||||||||||
| w/o | 52.405 | 53.883 | 55.424 | 56.640 | 58.903 | 61.413 | 46.154 | 48.224 | 50.352 | 52.048 | 54.431 | 57.937 | 47.306 | 48.809 | 50.731 |
| w | 52.762 † | 54.051 † | 55.743 † | 56.850 † | 59.190 † | 62.220 † | 46.835 † | 48.656 † | 50.745 † | 52.285 † | 54.968 † | 58.038 † | 47.285 | 48.899 | 50.857 † |
|
| |||||||||||||||
|
SSIM (↑) | |||||||||||||||
| low-count | 92.289 | 94.543 | 97.934 | 99.152 | 99.774 | 99.919 | 89.309 | 94.320 | 97.497 | 98.655 | 99.479 | 99.808 | 92.676 | 95.641 | 97.759 |
|
| |||||||||||||||
| w/o | 99.445 | 99.413 | 99.479 | 99.631 | 99.808 | 99.896 | 97.458 | 97.702 | 99.050 | 99.251 | 99.590 | 99.726 | 97.952 | 98.415 | 98.894 |
| w | 99.450 † | 99.639 † | 99.429 | 99.769 † | 99.867 † | 99.931 † | 98.016 † | 98.750 † | 99.121 † | 99.440 † | 99.674 † | 99.822 † | 98.091 † | 98.588 † | 99.003 † |
|
| |||||||||||||||
|
SUVmean bias (%) (o)
| |||||||||||||||
| low-count | −2.882 | −0.444 | 1.189 | 1.703 | 1.488 | 1.052 | −4.754 | −0.780 | 1.180 | 1.378 | 0.917 | 0.815 | −3.953 | −2.137 | −0.802 |
|
| |||||||||||||||
| w/o | −20.948 | −15.127 | −9.445 | −6.694 | −3.858 | −3.209 | −34.051 | −25.021 | −15.913 | −11.023 | −7.318 | −5.933 | −25.517 | −20.095 | −13.199 |
| w | −17.128 † | −12.840 † | −8.491 † | −5.711 † | −3.131 † | −1.557 † | −28.726 † | −20.591 † | −12.737 † | −8.471 † | −4.192 † | −2.494 † | −23.469 † | −17.493 † | −11.657 † |
|
| |||||||||||||||
|
SUVmax bias (%) (o)
| |||||||||||||||
| low-count | 57.743 | 30.397 | 16.241 | 10.933 | 6.205 | 3.271 | 88.944 | 38.594 | 17.863 | 10.998 | 5.399 | 2.929 | 24.004 | 13.675 | 6.638 |
|
| |||||||||||||||
| w/o | −26.473 | −20.177 | −13.468 | −9.816 | −6.474 | −6.318 | −43.518 | −32.297 | −20.356 | −14.586 | −10.081 | −8.942 | −28.522 | −23.243 | −16.480 |
| w | −19.274 † | −15.108 † | −10.181 † | −6.959 † | −3.809 † | −2.546 † | −31.132 † | −23.759 † | −15.350 † | −10.463 † | −4.848 † | −2.985 † | −24.676 † | −18.803 † | −13.296 † |
|
| |||||||||||||||
|
TLG bias (%) (o)
| |||||||||||||||
| low-count | −1.963 | −0.742 | 0.174 | 0.545 | 0.596 | 0.469 | −2.362 | 0.127 | 1.382 | 1.368 | 0.921 | 0.769 | −1.154 | −0.476 | −0.360 |
|
| |||||||||||||||
| w/o | −5.142 | −3.772 | −2.446 | −2.076 | −1.311 | −1.055 | −13.643 | −8.975 | −5.463 | −3.591 | −2.495 | −2.081 | −8.386 | −6.179 | −4.172 |
| w | −3.983 † | −3.261 † | −2.394 | −1.671 † | −1.281 | −0.692 † | −10.058 † | −6.332 † | −3.487 † | −2.321 † | −1.251 † | −0.744 † | −7.415 † | −5.169 † | −3.557 † |
P<0.05 based on the Wilcoxon signed-rank test between groups without (w/o) and with (w) the LeqMod.
(↑), (↓) and (o) represent expecting higher, lower, and zero-approaching values, respectively.