File size: 4,638 Bytes
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"display_name": "elastix + IMPACT (Static), TotalSegmentator M730",
"short_description": "A rigid alignment on mutual information, then an elastix B-spline driven by IMPACT on TotalSegmentator M730 (its last decoder layer at the two coarse levels, its segmentation head at the two fine ones) and MIND, Static mode: the features are extracted once on the whole image. The pairing that suits MR and CT, where the contours and the segmentation-level features carry the alignment across modalities.",
"description": "A rigid alignment on mutual information, then an elastix B-spline driven by IMPACT on TotalSegmentator M730 (its last decoder layer at the two coarse levels, its segmentation head at the two fine ones) and MIND, Static mode: the features are extracted once on the whole image. The pairing that suits MR and CT, where the contours and the segmentation-level features carry the alignment across modalities.",
"task": "registration",
"tta": 0,
"mc_dropout": 0,
"models": [],
"inputs": {
"Fixed": {
"display_name": "Fixed image",
"volume_type": "VOLUME",
"required": true
},
"Moving": {
"display_name": "Moving image",
"volume_type": "VOLUME",
"required": true
},
"FixedMask": {
"display_name": "Fixed mask (optional)",
"volume_type": "SEGMENTATION",
"required": false,
"default": "ones"
},
"MovingMask": {
"display_name": "Moving mask (optional)",
"volume_type": "SEGMENTATION",
"required": false,
"default": "ones"
}
},
"outputs": {
"DisplacementField": {
"display_name": "Displacement field",
"volume_type": "VOLUME",
"required": true
}
},
"inputs_evaluations": {
"Image": {
"Evaluation_with_images.yml": {
"FixedImage": {
"display_name": "Fixed image",
"volume_type": "VOLUME",
"required": true
},
"MovingImage": {
"display_name": "Moving image",
"volume_type": "VOLUME",
"required": true
},
"Mask": {
"display_name": "Evaluation mask",
"volume_type": "SEGMENTATION",
"required": false
}
}
},
"Segmentation": {
"Evaluation_with_seg.yml": {
"FixedSeg": {
"display_name": "Fixed segmentation",
"volume_type": "SEGMENTATION",
"required": true
},
"MovingSeg": {
"display_name": "Moving segmentation",
"volume_type": "SEGMENTATION",
"required": true
}
}
},
"Landmarks": {
"Evaluation_with_fid.yml": {
"FixedFid": {
"display_name": "Fixed landmarks",
"volume_type": "FIDUCIALS",
"required": true
},
"MovingFid": {
"display_name": "Moving landmarks",
"volume_type": "FIDUCIALS",
"required": true
}
}
}
},
"vram_bytes_per_voxel": 150,
"tiling": {
"global": "Prediction.yml"
},
"ram_bytes_per_voxel": 950,
"model_files": [
{
"repo_id": "VBoussot/impact-torchscript-models",
"revision": "47ffad660e67cebbac8d74aecf0fa181c5dac042",
"filename": "MIND/R1D2_3D.pt"
},
{
"repo_id": "VBoussot/impact-torchscript-models",
"revision": "47ffad660e67cebbac8d74aecf0fa181c5dac042",
"filename": "TS/M730.pt"
}
],
"sample": {
"label": "Baseline CT (fixed) and follow-up CT (moving) of the lungs of one NLST participant, with their masks (fidopt L2R_NLST 0014_0000_0014_0001, Learn2Reg 2022-23; NLST, TCIA, CC BY 4.0)",
"inputs": {
"Fixed": "L2R_NLST/development/0014_0000_0014_0001/fixed.ome.zarr",
"Moving": "L2R_NLST/development/0014_0000_0014_0001/moving.ome.zarr",
"FixedMask": "L2R_NLST/development/0014_0000_0014_0001/fixed_mask.ome.zarr",
"MovingMask": "L2R_NLST/development/0014_0000_0014_0001/moving_mask.ome.zarr"
}
}
}
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