{
  "source_commit": "c59be95b839252dd993e1e32ff3369168d9f4eab",
  "executed_baseline": {
    "version": "2.14.0",
    "tasks": [
      291,
      293,
      297
    ],
    "completed_patients": 5,
    "renal_artery_branches_supplied": false,
    "renal_vein_branches_supplied": false
  },
  "official_renal_arteries": {
    "task": "renal_arteries",
    "task_id": 710,
    "software_version": "2.18.0",
    "officially_supported": true,
    "license_required": true,
    "classes": [
      "celiac_trunk",
      "superior_mesenteric_artery",
      "renal_arteries"
    ],
    "model_resample_mm": 1.5,
    "renal_artery_label": 3,
    "inference_performed": false,
    "completed_cases": 0,
    "expected_cases": 5,
    "license_present": false,
    "license_verified_online": false,
    "weights_downloaded": false,
    "included_in_existing_comparison_columns": false,
    "interface_status": "ready_pending_license",
    "interface_status_file": "totalsegmentator_official_status.json",
    "isolated_environment": {
      "isolated_import": true,
      "torch": "2.7.1+cu126",
      "cuda_available": true,
      "nnunetv2": "2.8.1",
      "production_modified": false
    },
    "input_scope": "Same existing arterial kidney-ROI CT as the other systems, no new registration or resampling in this adapter. Official aorta_report instead crops aorta+heart with a 20 mm margin and resamples to 0.8 mm before calling this 1.5 mm task. This is a kidney-ROI adaptation, not a full aorta_report reproduction.",
    "output_scope": "Only label 3 is renal arteries. Celiac trunk (1) and SMA (2) remain separate. No renal-vein, left/right, accessory-artery or segmental-territory label is provided. Label support does not establish distal-branch accuracy.",
    "academic_license_url": "https://backend.totalsegmentator.com/license-academic/"
  },
  "dedicated_renal_vein_task": {
    "identified_in_audited_official_maps": false,
    "scope": "Fixed-commit task and class maps only; not a statement about all possible/future official models."
  },
  "official_sources": {
    "class_and_license_map": "https://github.com/wasserth/TotalSegmentator/blob/c59be95b839252dd993e1e32ff3369168d9f4eab/totalsegmentator/map_to_binary.py#L670",
    "task_configuration": "https://github.com/wasserth/TotalSegmentator/blob/c59be95b839252dd993e1e32ff3369168d9f4eab/totalsegmentator/map_tasks_config.py#L485",
    "license_check": "https://github.com/wasserth/TotalSegmentator/blob/c59be95b839252dd993e1e32ff3369168d9f4eab/totalsegmentator/python_api.py#L135",
    "task_registry": "https://github.com/wasserth/TotalSegmentator/blob/c59be95b839252dd993e1e32ff3369168d9f4eab/totalsegmentator/registry.py"
  }
}
