python 读取dicom文件,生成info.txt和raw文件的方法

import numpyimport pydicomimport os# dicom文件所在的文件夹目录PathDicom = '/home/lk/testdata/1.3.6.1.4.1.9328.50.1.42697596859477567872763647333745089432/'# 筛选出文件夹目录下所有的dicom文件lstFilesDCM = []for dirName, subdirList, fileList in os.walk(PathDicom):  for filename in fileList:    if '.dcm' in filename.lower():      lstFilesDCM.append(os.path.join(dirName, filename))# Get ref fileRefDs = pydicom.read_file(lstFilesDCM[0])# Load dimensions based on the number of rows, columns, and slices (along the Z axis)ConstPixelDims = (int(RefDs.Rows), int(RefDs.Columns), len(lstFilesDCM))# Load spacing values (in mm)ConstPixelSpacing = (float(RefDs.PixelSpacing[0]), float(RefDs.PixelSpacing[1]), float(RefDs.SliceThickness))# save info.txtinfo = ConstPixelDims + ConstPixelSpacingf = open('/home/lk/testdata/1.3.6.1.4.1.9328.50.1.42697596859477567872763647333745089432/info.txt', 'w')for n in info:  f.write(str(n)+' ')f.close()# According to location sortinglocation = []for i in range(len(lstFilesDCM)):  ds = pydicom.read_file(lstFilesDCM[i])  location.append(ds.SliceLocation)location.sort()# The array is sized based on 'ConstPixelDims'ArrayDicom = numpy.zeros((len(lstFilesDCM), RefDs.Rows, RefDs.Columns), dtype=RefDs.pixel_array.dtype)# loop through all the DICOM filesfor filenameDCM in lstFilesDCM:  # read the file  ds = pydicom.read_file(filenameDCM)  # store the raw image data  ArrayDicom[location.index(ds.SliceLocation), :, :] = ds.pixel_array# save rawds = ArrayDicom.tostring()f = open('/home/lk/testdata/1.3.6.1.4.1.9328.50.1.42697596859477567872763647333745089432/1.raw', 'wb')f.write(ds)f.close()