{
 "schema_version": 1,
 "method": "mlx-reason-ct 0.3.6 structured chest CT report on one LUNA16 CT; decoder attention for each streamed token shown on an axial slice",
 "runtime": {
  "package": "mlx-reason-ct",
  "version": "0.3.6",
  "medmlx_core_version": "0.2.6",
  "mlx_version": "0.32.4",
  "python_version": "3.13.17",
  "macos_version": "27.2",
  "device": "Apple M5 Max GPU (Device(gpu, 0))",
  "precision": "float32",
  "entry_points": [
   "mlx_reason_ct.processor_mlx.Processor",
   "mlx_reason_ct.mlx_model.NativeModel",
   "mlx_reason_ct.api.generate"
  ]
 },
 "weights": {
  "repository": "MedMLX/MLX-Reason-CT",
  "revision": "5e5b5202fd04ac9f63ede203ebc9327aa676ae94"
 },
 "source": {
  "dataset": "LUNA16 subset0",
  "seriesuid": "1.3.6.1.4.1.14519.5.2.1.6279.6001.511347030803753100045216493273",
  "source_url": "https://zenodo.org/records/3723295",
  "license": "CC BY 4.0",
  "nifti_sha256": "efd812ef6374c9acce382af6dee319520d7d7bd70873535763275c8fe900f6a8",
  "reference_nodule": {
   "world_lps_mm": [
    60.77506053,
    74.1239696,
    -214.7823466
   ],
   "diameter_mm": 25.23,
   "source": "LUNA16 annotations.csv consensus nodule",
   "token_zyx": [
    10,
    17,
    15
   ]
  }
 },
 "inference": {
  "prompt": "Write a structured chest CT report",
  "enable_thinking": false,
  "decoding": "greedy",
  "max_new_tokens": 512,
  "anatomy_region": "chest",
  "token_grid_zyx": [
   24,
   24,
   24
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  "crop_spacing_mm": [
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   2.0,
   2.0
  ],
  "crop_shape": [
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   192,
   192
  ],
  "attention_layers": [
   3,
   7,
   11,
   15,
   19,
   23,
   27,
   31
  ],
  "attention": "per generated token and layer: softmax over all keys of the newest query, restricted to the visual tokens and averaged over heads, recomputed in float32",
  "generated_tokens": 255,
  "seconds_total": 34.21,
  "metrics": {
   "generated_tokens": 255,
   "constrained_choice_count": 0,
   "reused_prefix_tokens": 0,
   "cache_chunk_size": 0,
   "terminated_by_eos": true,
   "truncated_by_max_new_tokens": false,
   "prompt_tokens": 13844,
   "initial_cache_bytes": 959971328,
   "final_cache_bytes": 976617472
  }
 },
 "report_text": "TECHNIQUE: IV contrast CT.\n\nFINDINGS:\nMedical devices: None present.\n\nCHEST:\nLungs and airways: Moderate-sized left lower lobe lung mass. Small lung nodules bilaterally, including a moderate-sized right lung base nodule. Calcified likely granulomas in the right lower lobe. Central airways are patent.\nPleura: No pleural effusion or pneumothorax.\nMediastinum and hila: No mediastinal or hilar lymphadenopathy or mass.\nHeart and pericardium: Normal heart size. No pericardial effusion.\nGreat vessels: Normal caliber thoracic aorta and main pulmonary artery.\nEsophagus: No esophageal abnormality.\nChest wall and breast: No chest wall or breast mass.\nBones: No suspicious thoracic osseous lesion or acute fracture.\n\nIMPRESSION:\n\n1. Moderate-sized left lower lobe lung mass.\n2. Small bilateral lung nodules, including a moderate-sized right lung base nodule.\n3. Calcified likely granulomas in the right lower lobe.\n<answer> Lung nodule, Lung mass </answer>",
 "excerpt": "Lungs and airways: Moderate-sized left lower lobe lung mass. Small lung nodules bilaterally, including a moderate-sized right lung base nodule.",
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  {
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   "peak_token_zyx": [
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   "image_share_mean_layers": 0.503
  },
  {
   "piece": " air",
   "peak_token_zyx": [
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  {
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   "image_share_mean_layers": 0.434
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  {
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  {
   "piece": " Moderate",
   "peak_token_zyx": [
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   "image_share_mean_layers": 0.682
  },
  {
   "piece": "-sized",
   "peak_token_zyx": [
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   "image_share_mean_layers": 0.623
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  {
   "piece": " left",
   "peak_token_zyx": [
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   "image_share_mean_layers": 0.722
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  {
   "piece": " lower",
   "peak_token_zyx": [
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   "image_share_mean_layers": 0.679
  },
  {
   "piece": " l",
   "peak_token_zyx": [
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  {
   "piece": "obe",
   "peak_token_zyx": [
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   "image_share_mean_layers": 0.583
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  {
   "piece": " lung",
   "peak_token_zyx": [
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   "image_share_mean_layers": 0.602
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  {
   "piece": " mass",
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   "image_share_mean_layers": 0.5
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  {
   "piece": ".",
   "peak_token_zyx": [
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   "image_share_mean_layers": 0.433
  },
  {
   "piece": " Small",
   "peak_token_zyx": [
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   "image_share_mean_layers": 0.471
  },
  {
   "piece": " lung",
   "peak_token_zyx": [
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  {
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  {
   "piece": " bil",
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  {
   "piece": "ater",
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  {
   "piece": "ally",
   "peak_token_zyx": [
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  {
   "piece": ",",
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   "image_share_mean_layers": 0.401
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  {
   "piece": " including",
   "peak_token_zyx": [
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  {
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   "image_share_mean_layers": 0.349
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  {
   "piece": " moderate",
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  {
   "piece": " right",
   "peak_token_zyx": [
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  {
   "piece": " lung",
   "peak_token_zyx": [
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  {
   "piece": " base",
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   "peak_token_zyx": [
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 ],
 "display": {
  "renderer": "docs/hero/render_vision_attention.py",
  "attention": "mean over layers 3, 7, ..., 31 of the per-token visual attention, divided by its peak; 8-voxel nearest upsampling and a Gaussian blur of 3.0 voxels; magenta-to-cream ramp with a 12% floor",
  "slice": "axial crop slice gliding 25% per frame toward the current token's peak",
  "orientation": "radiological: patient right on image left, anterior at top",
  "crop": "body bounding box (> -500 HU) over the visited slices, padded by 3%",
  "ct_window_hu": {
   "level": -400,
   "width": 1200
  },
  "timing": {
   "lead_frames": 24,
   "frames_per_token": 5,
   "hold_frames": 60,
   "fade_frames": 12
  },
  "note": "Decoder attention shows where queries weighted the scan, not why the model wrote a word."
 },
 "encode": {
  "video": {
   "codec": "H.264 (libx264)",
   "preset": "veryslow",
   "crf": 26,
   "pix_fmt": "yuv420p",
   "color": "BT.709, limited range",
   "fps": 24,
   "frames": 261,
   "size_px": [
    800,
    520
   ],
   "audio": false,
   "movflags": "+faststart",
   "ffmpeg": "ffmpeg version 9.0",
   "sha256": "b8a5bbc8528d9b8d9d9840bdd4e3ffce4b3d8912f3bd2eb4c64a38a44d583d4f",
   "bytes": 286644
  },
  "poster": {
   "format": "WebP",
   "quality": 85,
   "method": 6,
   "frame": 93,
   "size_px": [
    800,
    520
   ],
   "sha256": "9eae3076a13c0752d38957580f5c1eb88e12aa37cfc2f616e494254463da89ee",
   "bytes": 22150
  }
 },
 "outputs": {
  "video": "site/assets/hero/vision-attention.mp4",
  "poster": "site/assets/hero/vision-attention-poster.webp"
 },
 "interpretation": "One automated report on one public, de-identified CT for a software visualization. Not reviewed, not a clinical finding and not a validation."
}