【学习】测试函数.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import pydicom\n",
    "import matplotlib.pyplot as plt\n",
    "import SimpleITK as sitk\n",
    "import numpy as np\n",
    "import glob"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 测试stik功能"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "def loadFile(filename):\n",
    "    ds = sitk.ReadImage(filename)\n",
    "    img_array = sitk.GetArrayFromImage(ds)\n",
    "    frame_num, width, height = img_array.shape\n",
    "    return img_array, frame_num, width, height"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "filename='./data_train/train/'+'1001/'+'arterial phase/'+'10001.dcm'\n",
    "#dcm = pydicom.dcmread(filename)\n",
    "#dcm = pydicom.read_file(filename)\n",
    "#print(dcm)\n",
    "img_array, frame_num, width, height = loadFile(filename)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'numpy.ndarray'>\n",
      "(1, 512, 512)\n"
     ]
    }
   ],
   "source": [
    "print(type(img_array))\n",
    "print(np.array(img_array).shape)\n",
    "#plt.show(img_array)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Dmkq5Z6biE7uAkvLZbWNk23feRFP6wJf3UTg+Pb85H3MDe5OoKDn+tkG16T55b04sTqWB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exLTM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\nspEV+f8BuB2O+hhl+kMAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# d = np.squeeze(img_array)\n",
    "for d in img_array:\n",
    "    plt.imshow(d)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_pixels_hu_by_simpleitk(dicom_dir):\n",
    "\n",
    "    #读取某文件夹内的所有dicom文件,并提取像素值(-4000 ~ 4000)\n",
    "\n",
    "    reader = sitk.ImageSeriesReader()\n",
    "    dicom_names = reader.GetGDCMSeriesFileNames(dicom_dir)\n",
    "    reader.SetFileNames(dicom_names)\n",
    "    image = reader.Execute()\n",
    "    img_array = SimpleITK.GetArrayFromImage(image)\n",
    "    img_array[img_array == -2000] = 0\n",
    "    return img_array"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('./data_train/train/1001/arterial phase/10020.dcm', './data_train/train/1001/arterial phase/10019.dcm', './data_train/train/1001/arterial phase/10018.dcm', './data_train/train/1001/arterial phase/10017.dcm', './data_train/train/1001/arterial phase/10016.dcm', './data_train/train/1001/arterial phase/10015.dcm', './data_train/train/1001/arterial phase/10014.dcm', './data_train/train/1001/arterial phase/10013.dcm', './data_train/train/1001/arterial phase/10012.dcm', './data_train/train/1001/arterial phase/10011.dcm', './data_train/train/1001/arterial phase/10010.dcm', './data_train/train/1001/arterial phase/10009.dcm', './data_train/train/1001/arterial phase/10008.dcm', './data_train/train/1001/arterial phase/10007.dcm', './data_train/train/1001/arterial phase/10006.dcm', './data_train/train/1001/arterial phase/10005.dcm', './data_train/train/1001/arterial phase/10004.dcm', './data_train/train/1001/arterial phase/10003.dcm', './data_train/train/1001/arterial phase/10002.dcm', './data_train/train/1001/arterial phase/10001.dcm')\n"
     ]
    }
   ],
   "source": [
    "#测试reader.GetGDCMSeriesFileNames，看能否代替掉\n",
    "dicom_dir = './data_train/train/1001/arterial phase'\n",
    "reader = sitk.ImageSeriesReader()\n",
    "dicom_names = reader.GetGDCMSeriesFileNames(dicom_dir)\n",
    "print(dicom_names)\n",
    "#看来只对dcm有感应！可以用这个，就不用glob辣"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 测试glob"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "===================================================\n",
      "===================================================\n",
      "===================绝对路径=======================\n",
      "===================================================\n",
      "===================================================\n",
      "['D:/Jupyter/OCR/泰迪杯/Taidi/data_train/train/1001/arterial phase\\\\10001.dcm', 'D:/Jupyter/OCR/泰迪杯/Taidi/data_train/train/1001/arterial phase\\\\10002.dcm', 'D:/Jupyter/OCR/泰迪杯/Taidi/data_train/train/1001/arterial phase\\\\10003.dcm', 'D:/Jupyter/OCR/泰迪杯/Taidi/data_train/train/1001/arterial phase\\\\10004.dcm', 'D:/Jupyter/OCR/泰迪杯/Taidi/data_train/train/1001/arterial phase\\\\10005.dcm', 'D:/Jupyter/OCR/泰迪杯/Taidi/data_train/train/1001/arterial phase\\\\10006.dcm', 'D:/Jupyter/OCR/泰迪杯/Taidi/data_train/train/1001/arterial phase\\\\10007.dcm', 'D:/Jupyter/OCR/泰迪杯/Taidi/data_train/train/1001/arterial phase\\\\10008.dcm', 'D:/Jupyter/OCR/泰迪杯/Taidi/data_train/train/1001/arterial phase\\\\10009.dcm', 'D:/Jupyter/OCR/泰迪杯/Taidi/data_train/train/1001/arterial phase\\\\10010.dcm', 'D:/Jupyter/OCR/泰迪杯/Taidi/data_train/train/1001/arterial phase\\\\10011.dcm', 'D:/Jupyter/OCR/泰迪杯/Taidi/data_train/train/1001/arterial phase\\\\10012.dcm', 'D:/Jupyter/OCR/泰迪杯/Taidi/data_train/train/1001/arterial phase\\\\10013.dcm', 'D:/Jupyter/OCR/泰迪杯/Taidi/data_train/train/1001/arterial phase\\\\10014.dcm', 'D:/Jupyter/OCR/泰迪杯/Taidi/data_train/train/1001/arterial phase\\\\10015.dcm', 'D:/Jupyter/OCR/泰迪杯/Taidi/data_train/train/1001/arterial phase\\\\10016.dcm', 'D:/Jupyter/OCR/泰迪杯/Taidi/data_train/train/1001/arterial phase\\\\10017.dcm', 'D:/Jupyter/OCR/泰迪杯/Taidi/data_train/train/1001/arterial phase\\\\10018.dcm', 'D:/Jupyter/OCR/泰迪杯/Taidi/data_train/train/1001/arterial phase\\\\10019.dcm', 'D:/Jupyter/OCR/泰迪杯/Taidi/data_train/train/1001/arterial phase\\\\10020.dcm']\n",
      "===================================================\n",
      "===================================================\n",
      "====================相对路径=======================\n",
      "===================================================\n",
      "===================================================\n",
      "['./data_train/train/1001/arterial phase\\\\10001_mask.png', './data_train/train/1001/arterial phase\\\\10002_mask.png', './data_train/train/1001/arterial phase\\\\10003_mask.png', './data_train/train/1001/arterial phase\\\\10004_mask.png', './data_train/train/1001/arterial phase\\\\10005_mask.png', './data_train/train/1001/arterial phase\\\\10006_mask.png', './data_train/train/1001/arterial phase\\\\10007_mask.png', './data_train/train/1001/arterial phase\\\\10008_mask.png', './data_train/train/1001/arterial phase\\\\10009_mask.png', './data_train/train/1001/arterial phase\\\\10010_mask.png', './data_train/train/1001/arterial phase\\\\10011_mask.png', './data_train/train/1001/arterial phase\\\\10012_mask.png', './data_train/train/1001/arterial phase\\\\10013_mask.png', './data_train/train/1001/arterial phase\\\\10014_mask.png', './data_train/train/1001/arterial phase\\\\10015_mask.png', './data_train/train/1001/arterial phase\\\\10016_mask.png', './data_train/train/1001/arterial phase\\\\10017_mask.png', './data_train/train/1001/arterial phase\\\\10018_mask.png', './data_train/train/1001/arterial phase\\\\10019_mask.png', './data_train/train/1001/arterial phase\\\\10020_mask.png']\n"
     ]
    }
   ],
   "source": [
    "print(\"===================================================\")\n",
    "print(\"===================================================\")\n",
    "print(\"===================绝对路径=======================\")\n",
    "print(\"===================================================\")\n",
    "print(\"===================================================\")\n",
    "print(glob.glob(r\"D:/Jupyter/OCR/泰迪杯/Taidi/data_train/train/1001/arterial phase/*.dcm\"))\n",
    "print(\"===================================================\")\n",
    "print(\"===================================================\")\n",
    "print(\"====================相对路径=======================\")\n",
    "print(\"===================================================\")\n",
    "print(\"===================================================\")\n",
    "print(glob.glob(r'./data_train/train/1001/arterial phase/*.png'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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