Datasets:
source stringclasses 1
value | split stringclasses 1
value | projections dict | angles_deg stringclasses 1
value | geometry dict | gt stringclasses 1
value |
|---|---|---|---|---|---|
LUNA16 series 1.3.6.1.4.1.14519.5.2.1.6279.6001.154837327827713479309898027966 (LIDC-IDRI), CC BY 3.0 | reserved test (never seen in training) | {
"shape": [
180,
384,
768
],
"dtype": "float16",
"note": "DRR line integrals divided by the global max (scale below); the model normalises by the global max anyway",
"scale": 1067728.25
} | gantry angle per projection, training convention, 0..358 step 2 | {
"H": 384,
"W": 768,
"psize_mm_at_iso": 0.7273,
"SAD_mm": 1000,
"volume": [
256,
256,
128
],
"voxel_mm": 2
} | gt_hu.nii.gz int16 HU, 256x256x128 @ 2 mm |
EUReCA demo case
One simulated cone-beam acquisition for trying the EUReCA CBCT reconstruction models without any data preparation.
- Source CT: LUNA16 / LIDC-IDRI series
1.3.6.1.4.1.14519.5.2.1.6279.6001.154837327827713479309898027966(thorax), CC BY 3.0. This case is in EUReCA's reserved test split and was never used for training or model selection. - Geometry: Varian Halcyon on-board imager as simulated for training: SAD 1000 mm, detector 384 × 768 pixels at 0.7273 mm (isocenter plane), volume 256 × 256 × 128 voxels at 2 mm.
Files (luna16_27966/)
| file | content |
|---|---|
projections.npy |
(180, 384, 768) float16, DRR line integrals at gantry angles 0, 2, …, 358°, divided by their global maximum (scale in meta.json) |
angles.npy |
(180,) float32 gantry angles in degrees, training convention |
gt_hu.nii.gz |
ground-truth CT resampled to the 2 mm reconstruction grid, int16 HU |
aug.ini |
resampling transform used (identity) |
meta.json |
provenance, geometry and scaling |
Usage
git clone https://github.com/Jiening666/EUReCA.git && cd EUReCA
pip install -r requirements.txt
python download_weights.py --model eureca_main --demo
bash demo/run_demo.sh eureca_main 20 # -> PSNR / SSIM against gt_hu.nii.gz
The models expect views drawn from the arc they were trained on (a 211° arc for
eureca_main); demo/run_demo.sh selects them from this 360° library. Any
subset of views and angles can be passed to test_npy.py --view_indices.
License and attribution
Derived from LUNA16 (https://luna16.grand-challenge.org/), which is based on LIDC-IDRI, distributed under CC BY 3.0. Please cite LUNA16 and LIDC-IDRI when using this case: Setio et al., Medical Image Analysis 42 (2017); Armato et al., Medical Physics 38 (2011).
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