fidoptANTs SyN
SyN as the Learn2Reg 2024 organisers ran it for LUMIR: cross-correlation, from the identity, 100x70x50x20 iterations, single precision.
RegistrationCPUversion 2.6.5 (release binaries)every datasetApache-2.0
Run it
With its KonfAI app, at the benchmark's settings (the fidopt app repositories are private for now: a Hugging Face token with access opens them):
pip install konfai-apps konfai-apps infer fideus-labs/fidopt-registration:ANTs_SyN -i fixed.nii.gz -i moving.nii.gz -o out
The app on Hugging Face: its model, its settings and how it is scored.
Where it works
Its place on each kind of problem it has results on, among the methods ranked there. A method that leads one problem can trail another: read the one closest to yours.
| Problem | Place | Ranked | Datasets |
|---|---|---|---|
| Rigid registration, CT to ultrasound | 3 | of 3 | 1 of 1 |
| Radiographs (2D), inter-patient | not ranked yet | 1 of 2 |
Results
| Dataset | # | Read by | Score | Change | SDlogJ | Failed | Time s |
|---|---|---|---|---|---|---|---|
| Aariz cephalograms | 6 | TRE mm | 12.32 | −0.29 | 0.132 | 0 | 36 |
| ORION colorectal cancer, H&E and Hoechst of one section, known warp | 1 | TRE µm | 10.04 | −0.64 | 0.123 | 0 | 74 |
| Spine CT and ultrasound, two ex-vivo phantoms | 3 | TRE mm | 25.95 | −168.63 | 0.000 | 0 | 8 |
| TrackRAD2025, two frames of a sagittal cine MR sequence | 3 | Dice | 0.726 | +0.191 | 0.083 | 0 | 2 |
- Source
- github.com/ANTsX/ANTs
- Reference
- Avants et al., Medical Image Analysis 2008