编写Dicom图像数组

时间:2019-07-08 19:49:23

标签: python pydicom

我有一个dicom图像文件夹,并将这些图像存储在一个数组中,我想将它们打印在另一个文件夹中。

我找不到能写出每个图像的方法,例如cv2.imwrite

import pydicom
import skimage, os
import numpy as np
FolderPathName = r'FolderPathName'
slices = [pydicom.read_file(FolderPathName + imagename) for imagename in os.listdir(FolderPathName)]
    # Sort the dicom slices in their respective order
slices.sort(key=lambda x: int(x.InstanceNumber))

for x in range(len(slices)): 
    #write the images in a new folder

1 个答案:

答案 0 :(得分:0)

方法1: 就你而言 答案是...

import pydicom
import skimage, os
import numpy as np
FolderPathName = r'FolderPathName'
slices = [pydicom.read_file(FolderPathName + imagename) for imagename in os.listdir(FolderPathName)]
# Sort the dicom slices in their respective order
slices.sort(key=lambda x: int(x.InstanceNumber))
jpg_folder = '' # Set your jpg folder
for idx in range(len(slices)): 
    #write the images in a new folder
    jpg_filepath = os.path.join( jpg_folder, "pic-{}.jpg".format(x) )
    np_pixel_array = slices[idx].pixel_array
    cv2.imwrite(jpg_filepath, np_pixel_array)

方法2: 但是,有更好的方法来处理dicom文件...

import pydicom
import os
import numpy as np
import cv2
dicom_folder = '' # Set the folder of your dicom files that inclued images 
jpg_folder = '' # Set the folder of your output folder for jpg files 
# Step 1. prepare your input(.dcm) and output(.jpg) filepath 
dcm_jpg_map = {}
for dicom_f in os.listdir(dicom_folder):
    dicom_filepath = os.path.join(dicom_folder, dicom_f)
    jpg_f = dicom_f.replace('.dcm', '.jpg') 
    jpg_filepath = os.path.join(jpg_folder,jpg_f)
    dcm_jpg_map[dicom_filepath] = jpg_filepath

# Now, dcm_jpg_map is key,value pair of input dcm filepath and output jpg filepath

# Step 2. process your image by input/output information
for dicom_filepath, jpg_filepath in dcm_jpg_map.items():
    # convert dicom file into jpg file
    dicom = pydicom.read_file(dicom_filepath)
    np_pixel_array = dicom.pixel_array
    cv2.imwrite(jpg_filepath, np_pixel_array)

在上面的代码中, 步骤1 专注于文件路径处理。轻松将代码移植到不同的环境中对您有好处。

第2步是主要代码,专注于任何类型的图像处理。