如何在半pydicom文件分割（图像）使用Python？(How to divide in half

我有很多图片（pydicom文件）。我想在半分。从1个形象，我想2个图像：部分左侧和右侧部分。

输入：1000×1000输出：500x1000（宽x高）。

目前，我只能读取的文件。

ds = pydicom.read_file(image_fps[0]) # read dicom image from filepath

第一部分，我想放一半在一个文件夹，而另一半到第二英寸这是我拥有的一切：在这里输入的形象描述这正是我想要的：在这里输入图像描述

我用面膜RCNN反对定位问题。我想裁剪图像大小（pydicom文件）的50％。

EDIT1：

import SimpleITK as sitk
    filtered_image = sitk.GetImageFromArray(left_part)
    sitk.WriteImage(filtered_image, '/home/wojtek/Mask/nnna.dcm', True)

我有DICOM文件，但我不能显示它。

this transfer syntax JPEG 2000 Image Compression (Lossless Only), can not be read because Pillow lacks the jpeg 2000 decoder plugin

一旦执行pydicom.dcm_read()的象素数据可在ds.pixel_array 。你可以只切你想要的数据和任何合适的库保存。在这个例子中，我将使用matplotlib，我也使用验证我的切分是否正确。调整你的需求很明显，有一件事你需要做的是产生储蓄的正确路径/文件名。玩得开心！（此脚本假设文件路径在一个可用paths变量）

import pydicom
import matplotlib

# for testing if the slice is correct
from matplotlib import pyplot as plt

for path in paths:
    # read the dicom file
    ds = pydicom.dcmread(path)

    # find the shape of your pixel data
    shape = ds.pixel_array.shape
    # get the half of the x dimension. For the y dimension use shape[0]
    half_x = int(shape[1] / 2)

    # slice the halves
    # [first_axis, second_axis] so [:,:half_x] means slice all from first axis, slice 0 to half_x from second axis
    left_part  = ds.pixel_array[:, :half_x]
    right_part = ds.pixel_array[:,half_x:]

    # to check whether the slices are correct, matplotlib can be convenient
    # plt.imshow(left_part); do not do this in the loop

    # save the files, see the documentation for matplotlib if you want a different format
    # bmp, png are surely supported

    path_to_left_image = 'generate\the\path\and\filename\for\the\left\image.bmp'
    path_to_right_image = 'generate\the\path\and\filename\for\the\right\image.bmp'
    matplotlib.image.imsave(path_to_left_image, left_part)
    matplotlib.image.imsave(path_to_right_image, right_part)

如果你想保存DICOM文件记住，它们可能是无效的DICOM如果不更新相应的数据。例如在SOP实例UID在技术上不能是相同的原始DICOM文件，或任何其他SOP实例UID为这一问题。如何重要的是，是你。

有了这样下面你可以定义一个名为切片和分裂它发现在所提供的路径中的任何DICOM图像文件到相应的片的脚本。

import os
import pydicom
import numpy as np

def save_partials(parts, path_to_directory):
    """
    parts: list of tuples, each tuple specifying a name and a list of four slice offsets
    path_to_directory: path to directory containing dicom files
    any file with a .dcm extension will have its image data split into the specified slices and saved accordingly. 
    original file will not be modified
    """

    dir_content = [os.path.join(path_to_directory, item) for item in os.listdir(path_to_directory)]
    files = [i for i in dir_content if os.path.isfile(os.path.join(path_to_directory, i))]
    for file in files:
        root, extension = os.path.splitext(file)
        if extension.lower() != '.dcm':
            # not a .dcm file, continue with next iteration of loop
            continue
        for part in parts:
            ds = pydicom.read_file(file)
            if not isinstance(ds.pixel_array, np.ndarray):
                # no image data available
                continue
            part_name = part[0] 
            p = part[1] # slice list
            ds.PixelData = ds.pixel_array[p[0]:p[1], p[2]:p[3]].tobytes()
            ds.Rows = p[1] - p[0]
            ds.Columns = p[3] - p[2]
            ##
            ## Here you can modify any tags using ds.KeyWord
            ##
            new_file_name = "{r}-{pn}{ext}".format(r=root, pn=part_name, ext=extension)
            ds.save_as(new_file_name)
            print('saved {}'.format(new_file_name))


dir_path = '/home/wojtek/Mask'
parts = [('left', [0,512,0,256]),
         ('right', [0,512,256,512])]

save_partials(parts, dir_path)