pip install matplotlib

pip install opencv-python #opencv的安裝，小度上基本都是要下載包，安裝包后把包復(fù)制到某個(gè)文件夾下，
#后來(lái)我在https://pypi.python.org/pypi/opencv-python找到這種pip的安裝方法，親測(cè)可用

pip install pydicom

pip install numpy

#-*-coding:utf-8-*-
import cv2
import numpy
import dicom
from matplotlib import pyplot as plt

dcm = dicom.read_file("AT0001_100225002.DCM")
dcm.image = dcm.pixel_array * dcm.RescaleSlope + dcm.RescaleIntercept

slices = []
slices.append(dcm)
img = slices[ int(len(slices)/2) ].image.copy()
ret,img = cv2.threshold(img, 90,3071, cv2.THRESH_BINARY)
img = numpy.uint8(img)

im2, contours, _ = cv2.findContours(img,cv2.RETR_LIST,cv2.CHAIN_APPROX_SIMPLE)
mask = numpy.zeros(img.shape, numpy.uint8)
for contour in contours:
 cv2.fillPoly(mask, [contour], 255)
img[(mask > 0)] = 255


kernel = cv2.getStructuringElement(cv2.MORPH_ELLIPSE,(2,2))
img = cv2.morphologyEx(img, cv2.MORPH_OPEN, kernel)


img2 = slices[ int(len(slices)/2) ].image.copy()
img2[(img == 0)] = -2000


plt.figure(figsize=(12, 12))
plt.subplot(131)
plt.imshow(slices[int(len(slices) / 2)].image, 'gray')
plt.title('Original')
plt.subplot(132)
plt.imshow(img, 'gray')
plt.title('Mask')
plt.subplot(133)
plt.imshow(img2, 'gray')
plt.title('Result')
plt.show()

import dicom
import json
def loadFileInformation(filename):
 information = {}
 ds = dicom.read_file(filename)
 information['PatientID'] = ds.PatientID
 information['PatientName'] = ds.PatientName
 information['PatientBirthDate'] = ds.PatientBirthDate
 information['PatientSex'] = ds.PatientSex
 information['StudyID'] = ds.StudyID
 information['StudyDate'] = ds.StudyDate
 information['StudyTime'] = ds.StudyTime
 information['InstitutionName'] = ds.InstitutionName
 information['Manufacturer'] = ds.Manufacturer
 print dir(ds)
 print type(information)
 return information

a=loadFileInformation('AT0001_100225002.DCM')
print a