Table 1:
Metrics | Thickness | Interp. | JogSSR | SMORE | HR(0.9 mm) |
---|---|---|---|---|---|
SSIM | 1.205 mm | 0.9494 | 0.9507 | 0.9726* | 1* |
1.928 mm | 0.9013 | 0.9106 | 0.9389* | ||
3.0125 mm | 0.8290 | 0.8400 | 0.8893* | ||
3.856 mm | 0.7677 | 0.7812 | 0.8387* | ||
4.82 mm | 0.7003 | 0.7170 | 0.7817* | ||
PSNR | 1.205 mm | 35.0407 | 34.0472 | 39.5053* | |
1.928 mm | 31.9321 | 30.6444 | 35.7429* | ||
3.0125 mm | 29.2785 | 27.4384 | 31.9878* | – | |
3.856 mm | 27.7562 | 25.7118 | 29.6050* | ||
4.82 mm | 26.4127 | 24.2377 | 28.1593* | ||
Dice(RLV) | 1.205 mm | 0.9704 | 0.9705 | 0.9712† | 0.9715* |
1.928 mm | 0.9678 | 0.9690 | 0.9706* | ||
3.0125 mm | 0.9610 | 0.9635 | 0.9693* | ||
3.856 mm | 0.9527 | 0.9578 | 0.9648* | ||
4.82 mm | 0.9405 | 0.9498 | 0.9629* | ||
Dice(LLV) | 1.205 mm | 0.9710 | 0.9709 | 0.9715† | 0.9717† |
1.928 mm | 0.9690 | 0.9693 | 0.9710* | ||
3.0125 mm | 0.9638 | 0.9641 | 0.9699* | ||
3.856 mm | 0.9571 | 0.9585 | 0.9663* | ||
4.82 mm | 0.9469 | 0.9510 | 0.9638* | ||
Dice(3rd) | 1.205 mm | 0.9149 | 0.9149 | 0.9163† | 0.9174* |
1.928 mm | 0.9095 | 0.9097 | 0.9141* | ||
3.0125 mm | 0.8945 | 0.8940 | 0.9073* | ||
3.856 mm | 0.8779 | 0.8761 | 0.8937* | ||
4.82 mm | 0.8560 | 0.8545 | 0.8832* | ||
Dice(4th) | 1.205 mm | 0.8954 | 0.8941 | 0.8973* | 0.8983* |
1.928 mm | 0.8891 | 0.8851 | 0.8947* | ||
3.0125 mm | 0.8741 | 0.8657 | 0.8878* | ||
3.856 mm | 0.8550 | 0.8463 | 0.8753* | ||
4.82 mm | 0.8254 | 0.8216 | 0.8629* | ||
Dice(whole) | 1.205 mm | 0.9690 | 0.9690 | 0.9696† | 0.9699* |
1.928 mm | 0.9665 | 0.9672 | 0.9690* | ||
3.0125 mm | 0.9602 | 0.9614 | 0.9675* | ||
3.856 mm | 0.9524 | 0.9552 | 0.9632* | ||
4.82 mm | 0.9408 | 0.9470 | 0.9607* |
The ‘*’ (p < 0.005) and ‘†’ (p < 0.05) indicate the method is significantly better than the other two methods. For the column of ‘HR’, they indicate that HR images give significantly better parcellation results than resolved images from the three methods with thickness of 1.205 mm.