{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Reconstructing DICOM data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import pytomography\n",
    "from pytomography.projections import ForwardProjectionNet, BackProjectionNet\n",
    "from pytomography.metadata import ObjectMeta, ImageMeta, PSFMeta\n",
    "from pytomography.mappings import SPECTAttenuationNet, SPECTPSFNet\n",
    "from pytomography.algorithms import OSEMOSL\n",
    "from pytomography.io import dicom_projections_to_data, dicom_CT_to_data, dicom_MEW_to_data, get_SPECT_recon_algorithm_dicom\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import torch\n",
    "import pydicom\n",
    "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Set the default device for all reconstruction for pytomography:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "pytomography.device = device"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Set the folder location for downloaded files (you will need to modify this to be the directory where you saved the files)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "path = '/home/gpuvmadm/PyTomography/test_files/julia_phantom/Cylinder_0103'"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## The Quick Way"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The typical file format for DICOM is as follows:\n",
    "\n",
    "* **Raw SPECT data**: a single .dcm (DICOM) file (3D sinogram)\n",
    "* **CT data**: a sequence of .dcm files, each representing a 2D slice\n",
    "\n",
    "Below we obtain the corresponding files"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "file_NM = os.path.join(path, 'HOLMIUM-166_ZYLINDER_03_01_2023.NM._.1000.1.2023.01.25.17.17.34.968750.4872276.IMA')\n",
    "files_CT = [os.path.join(path, file) for file in os.listdir(path) if '2023.CT._.2' in file]"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "From there, we can create the reconstruction algorithm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Based on primary window with range (74.93, 87.07)keV, using conversion between hounsfield to linear attenuation coefficient based on radionuclide with emission energy 77.5keV\n"
     ]
    }
   ],
   "source": [
    "osem_net = get_SPECT_recon_algorithm_dicom(\n",
    "            projections_file = file_NM,\n",
    "            atteunation_files = files_CT,\n",
    "            use_psf = True,\n",
    "            scatter_type = 'DEW',\n",
    "            recon_algorithm_class= OSEMOSL)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And we can reconstruct using our desired reconstruction algorithm parameters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "reconstructed_object = osem_net(n_iters=4, n_subsets=8)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And we can view a slice of our reconstructed object:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x300 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(4,3))\n",
    "plt.pcolormesh(reconstructed_object[0].cpu()[:,:,70].T, cmap='nipy_spectral')\n",
    "plt.colorbar()\n",
    "plt.axis('off')\n",
    "plt.title('Reconstructed Object')\n",
    "plt.show()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## The Methodical Way"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The `get_SPECT_recon_algorithm_dicom` is function that allows convenient formation of a reconstruction algorithm for `dicom` data. We can also build the reconstruction algorithm from class, explicitly defining the components of the system matrix.\n",
    "\n",
    "We can get the object/image metadata and corresponding projections / scatter projections using the `dicom_MEW_to_data` function (MEW means multiple energy window)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "object_meta, image_meta, projections, projections_scatter = dicom_MEW_to_data(file_NM)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can load the atteunation data using the `dicom_CT_to_data` file, which will automatically align the attenuation object with the SPECT projections.\n",
    "\n",
    "* The `dicom_CT_to_data` uses the data table `data/HU_to_mu.csv` to convert between the Hounsfield units of the CT to the linear atteunation coefficient data required for doing attenuation correction. The data was taken from https://www.sciencedirect.com/science/article/pii/S0969804308000067. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Based on primary window with range (74.93, 87.07)keV, using conversion between hounsfield to linear attenuation coefficient based on radionuclide with emission energy 77.5keV\n"
     ]
    }
   ],
   "source": [
    "CT = dicom_CT_to_data(files_CT, file_NM)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As usual, it is always good practice to ensure the CT and projections are aligned"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x400 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.subplots(1, 4, figsize=(14,4))\n",
    "plt.subplot(141)\n",
    "plt.pcolormesh(CT.sum(axis=1).T, cmap='Greys_r')\n",
    "plt.title('CT; Coronal View')\n",
    "plt.subplot(142)\n",
    "plt.pcolormesh(projections[0][0].T, cmap='nipy_spectral')\n",
    "plt.title(r'Spect; $\\beta=0^{\\circ}$')\n",
    "plt.subplot(143)\n",
    "plt.pcolormesh(CT.sum(axis=0).T, cmap='Greys_r')\n",
    "plt.title('CT; Sagittal View')\n",
    "plt.subplot(144)\n",
    "plt.pcolormesh(projections[0][30].T, cmap='nipy_spectral')\n",
    "plt.title(r'Spect; $\\beta=90^{\\circ}$')\n",
    "plt.show()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we need to define all the required mappings to model $g = Hf$"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "CT Correction\n",
    "\n",
    "* This network corresponds to a mapping $A_i(\\theta)$ as specified in the user manual and takes in an object/corresponding projection angle and returns a modified object"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "ct_net = SPECTAttenuationNet(CT.unsqueeze(dim=0).to(device), device=device)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "PSF Correction\n",
    "\n",
    "* This network corresponds to a mapping $A_i(\\theta)$ as specified in the users manual. For PSF correction of DICOM SPECT files, we use the angular resolution to obtain an approximation for the collimator slope and intercept."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "ds = pydicom.read_file(file_NM)\n",
    "angular_FWHM = ds[0x0055, 0x107f][0]\n",
    "psf_meta = PSFMeta(collimator_slope = angular_FWHM/(2*np.sqrt(2*np.log(2))), collimator_intercept = 0.0)\n",
    "psf_net = SPECTPSFNet(psf_meta, device)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we can build our forward and back projection networks:\n",
    "\n",
    "* These correspond to the mappings $H = \\sum_{\\theta} P(\\theta)A_1(\\theta)A_2(\\theta) \\otimes \\hat{\\theta}$ (and corresponding expression for $H^T$) as specified in the users manual"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "fp_net = ForwardProjectionNet(\n",
    "    obj2obj_nets = [ct_net,psf_net],\n",
    "    im2im_nets = [],\n",
    "    object_meta = object_meta,\n",
    "    image_meta = image_meta,\n",
    "    device = device)\n",
    "bp_net = BackProjectionNet(\n",
    "    obj2obj_nets = [ct_net,psf_net],\n",
    "    im2im_nets = [],\n",
    "    object_meta = object_meta,\n",
    "    image_meta = image_meta,\n",
    "    device = device)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We'll use these FP/BP nets to create the reconstruction algorithm:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "osem_net = OSEMOSL(\n",
    "    image = projections,\n",
    "    forward_projection_net = fp_net,\n",
    "    back_projection_net = bp_net,\n",
    "    scatter = projections_scatter)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Get the reconstructed object"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "reconstructed_object = osem_net(n_iters=4, n_subsets=8)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plot the reconstructed object next to the CT.\n",
    "* The reconstructed object has units of counts, and would need to be adjusted by a proportionality factor if one wants to obtain units of MBq"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x300 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.subplots(1,2,figsize=(8,3))\n",
    "plt.subplot(121)\n",
    "plt.pcolormesh(reconstructed_object[0].cpu()[:,:,70].T, cmap='nipy_spectral')\n",
    "plt.colorbar()\n",
    "plt.axis('off')\n",
    "plt.title('Reconstructed Object')\n",
    "plt.subplot(122)\n",
    "plt.pcolormesh(CT[:,:,70].T, cmap='Greys_r')\n",
    "plt.colorbar()\n",
    "plt.axis('off')\n",
    "plt.title('$\\mu$ (CT scan)')\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "torch",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.16"
  },
  "orig_nbformat": 4,
  "vscode": {
   "interpreter": {
    "hash": "324f5aa1485c6e81c0125c86ad1340c603dab08bc11babd97bd730cfafa2ec4a"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
