{
    "display_name": "MR/CT preset with TotalSegmentator and MIND",
    "short_description": "Generic MR/CT deformable registration using MIND + Totalsegmentator features",
    "description": "A four-level recursive B-spline deformable registration optimized for generic MR/CT alignment, driven by the IMPACT metric and combining semantic features from two pretrained models: MIND (L1 distance on a subset of 32 features) and Totalsegmentator (Dice overlap on segmentation outputs with 64 features). Features are extracted at progressively finer voxel scales (6 mm, 3 mm, 2 mm, 2 mm) with level-dependent weighting between MIND and MRSegmentator (0.2/0.8, 0.3/0.7, 0.6/0.4, 0.7/0.3). The optimization follows a multi-resolution ASGD scheme with up to 400, 300, 200, and 200 iterations using 2000 random spatial samples, and a composite objective (IMPACT + mutual information + bending energy penalty) to ensure robust cross-modality semantic alignment and smooth deformations.",
    "task": "registration",
    "tta": 0,
    "mc_dropout": 0,
    "models": [
        "model.pt"
    ],
    "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": {
        "MovedImage": {
            "display_name": "Moved image",
            "volume_type": "VOLUME",
            "required": true
        },
        "DisplacementField": {
            "display_name": "Displacement field",
            "volume_type": "VOLUME",
            "required": false
        }
    },
    "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
                }
            }
        }
    }
}