fidoptSynthRAD2025 CBCT/CT, thorax and abdomen
CT (fixed) and CBCT (moving) of the thorax or abdomen of one patient (SynthRAD2025, Task 2).
Read before comparing (2)
- Labels. They come from a segmentation network: a method that registers on that network's features is scored against its own view of the anatomy.
- Mask. The challenge's body mask, the same for both images.
No method has a result on every pair of this dataset yet.
| Accuracy | Smoothness | Cost | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| # | Method | Dice | Change | HD95 mm | SDlogJ | Folds % | Time s | RAM GB | GPU GB | Images |
| No registration | 0.648 ±0.042 | 10.26 ±1.72 | 0.000 | 0.00 | ||||||
Dice: how much the organ contours overlap, 1 is perfect. HD95: distance between the contours' surfaces. SDlogJ: how irregular the deformation is, 0 is perfectly smooth. Folds: share of the image where the deformation folds over itself.
Pair by pair
Click a score to look at that result: the fixed image, and over it the moving image after registration, with the annotations. Underlined scores have their image; for the others you see the pair without the result. A green cell gained against no registration on that pair, a red one lost.
About the data
- Test pairs
- 10 test pairs picked by a fixed rule before any result, one a patient, centres alternated, and 10 development pairs.
- Truth
- contours by a program TotalSegmentator (task total) run by us on each image
- Licence
- CC BY-NC 4.0 (centres A, B, C, E)
10 pairs for tuning, never tested
AB_2ABA002, TH_2THA005, AB_2ABA005, AB_2ABB119, AB_2ABB066, AB_2ABC051, AB_2ABE200, TH_2THB079, TH_2THC099, TH_2THE028