dcm转numpy数组_dcm2arry

# 将很多dcm切片存成npz数组
 
from glob import glob
import os
import pydicom
import matplotlib.pyplot as plt
import numpy as np
 
 
def extract_voxel_data(files_path_list):
    arrays = []
    for file_path in files_path_list:
        ds = pydicom.dcmread(file_path)
        array = ds.pixel_array
        arrays.append(array)
        # print(array.shape)
        # plt.title(os.path.basename(file_path))
        # plt.imshow(array,cmap='gray')
        # plt.show()
    
    arrayd = np.dstack(arrays)
    # 512,512,72 -> 72,512,512
    arrayd = np.transpose(arrayd,[2,0,1])
    print(arrayd.shape)
 
    return arrayd
 
 
if __name__ == '__main__':
    workdir = "D:/lung_blood/242/CIUYM10O/PJ1YNRAG"
    file_names = os.listdir(workdir) # 很多DCM文件序列名
 
    # 删掉VERSION
    for file_name in file_names:
        if file_name == 'VERSION':
            file_names.remove('VERSION')
       
    file_names.sort(key=lambda x: int(x[-7:])) # 按文件顺序排序
    files_path_list = [os.path.join(workdir,file_name) for file_name in file_names]
 
    voxel_ndarry = extract_voxel_data(files_path_list)
    aimg = voxel_ndarry[0]
    print(aimg.shape)
    plt.imshow(aimg,cmap='gray')
    plt.show()