{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "0120d471",
   "metadata": {},
   "source": [
    "# Low-dose CT reconstruction\n",
    "\n",
    "## Goal\n",
    "Run an end-to-end OrcaImage `reconstruction-v1` smoke baseline inspired by TCIA LDCT-and-Projection-Data. The bundled cohort is synthetic; it contains no patient data."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8399f30e",
   "metadata": {},
   "source": [
    "## Submission contract\n",
    "`images/<case_id>.nii.gz with unchanged geometry`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a74a3a50",
   "metadata": {},
   "outputs": [],
   "source": [
    "from pathlib import Path\n",
    "import importlib.util,subprocess,sys\n",
    "missing=[p for p in ['numpy','nibabel','scipy'] if importlib.util.find_spec(p) is None]\n",
    "if missing: subprocess.check_call([sys.executable,'-m','pip','install','numpy','nibabel','scipy'])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "53d7253f",
   "metadata": {},
   "source": [
    "## Bundled smoke cohort\n",
    "This cell restores the small dataset carried inside the notebook."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "22a25aa9",
   "metadata": {},
   "outputs": [],
   "source": [
    "import base64,io,zipfile\n",
    "payload='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'\n",
    "Path('data').mkdir(exist_ok=True)\n",
    "with zipfile.ZipFile(io.BytesIO(base64.b64decode(payload))) as z:z.extractall('data')\n",
    "[str(p) for p in Path('data').rglob('*') if p.is_file()]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aec9de32",
   "metadata": {},
   "source": [
    "## Baseline\n",
    "Replace this transparent heuristic with your training and inference pipeline, while keeping the output contract unchanged."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "dc4bab47",
   "metadata": {},
   "outputs": [],
   "source": [
    "import zipfile\n",
    "import nibabel as nib\n",
    "import numpy as np\n",
    "from scipy.ndimage import gaussian_filter\n",
    "out=Path('predictions/images');out.mkdir(parents=True,exist_ok=True)\n",
    "for path in Path('data/low_dose').glob('*.nii.gz'):\n",
    "    image=nib.load(path); prediction=gaussian_filter(np.asarray(image.dataobj,dtype=np.float32),.7)\n",
    "    nib.save(nib.Nifti1Image(prediction,image.affine,image.header),out/path.name)\n",
    "with zipfile.ZipFile('submission.zip','w',zipfile.ZIP_DEFLATED) as z:\n",
    "    for path in out.glob('*.nii.gz'):z.write(path,path.relative_to('predictions'))\n",
    "list(out.glob('*'))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "09309f7f",
   "metadata": {},
   "source": [
    "## Checks\n",
    "Inspect the archive before upload. Hidden reference values are never included."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b4e8f6d1",
   "metadata": {},
   "outputs": [],
   "source": [
    "with zipfile.ZipFile('submission.zip') as z: print(z.namelist())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0f260104",
   "metadata": {},
   "source": [
    "## Next steps\n",
    "Import the full TCIA LDCT-and-Projection-Data cohort only after reviewing its current license and citation requirements in `datasets/CATALOG.md`."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
