在已知DICOM和三维模型对应掩膜的情况下，计算三维模型的体积。

思路：

1、计算每个体素的体积。每个体素为长方体，x，y为PixelSpacing，z为层间距

使用pydicom.read_file读取DICOM文件，dcm_tag.PixelSpacing获取像素间距，dcm_tag.SliceLocation 获取层间距

2、计算体素的个数

代码如下： from PIL import Image

import numpy as np

import pydicom

import os

def get_pixels_No(bmp_data_dir):

pixels_No = 0

bmp_files = os.listdir(bmp_data_dir)

for bmp in bmp_files:

bmp_file = os.path.join(bmp_data_dir,bmp)

img = Image.open(bmp_file)

img_array = np.array(img)

# img_array.dtype为布尔类型，需要转换为Int类型，其累加和恰好为体素总和

img_array_int = img_array.astype(int)

pixels_No = pixels_No+img_array_int.sum()

return pixels_No

def get_pixel_info(dcm_data_dir):

pixel_infos = []

dcm_files = os.listdir(dcm_data_dir)

dcm_file_1 = os.path.join(dcm_data_dir,dcm_files[0])

dcm_tag_1 = pydicom.read_file(dcm_file_1)

# 获取像素间距.

spacex, spacey = dcm_tag_1.PixelSpacing

# 获取层间距

# 有些 dcm图像并不是按照InstanceNumber进行排序的，不能直接用最后一张的slicelocation减去第一张，再除以张数

SliceLocations = []

ImagePositon_z = []

for dcm in dcm_files:

dcm_file = os.path.join(dcm_data_dir, dcm)

dcm_tag = pydicom.read_file(dcm_file)

SliceLocations.append(dcm_tag.SliceLocation)

ImagePositon_z.append(dcm_tag.ImagePositionPatient[2])

SliceLocations_max =max(SliceLocations)

SliceLocations_min =min(SliceLocations)

ImagePositon_z_max = max(ImagePositon_z)

ImagePositon_z_min = min(ImagePositon_z)

print(SliceLocations_max)

print(SliceLocations_min)

print(ImagePositon_z_max)

print(ImagePositon_z_min)

if SliceLocations_max - SliceLocations_min < 1e-10:

spacez = abs(ImagePositon_z_max - ImagePositon_z_min)/(len(dcm_files)-1)

else:

spacez = abs(SliceLocations_max - SliceLocations_min)/(len(dcm_files)-1)

pixel_infos = [spacex, spacey, spacez]

return pixel_infos

def get_volume(dcm_data_dir,bmp_data_dir):

pixel_infos = get_pixel_info(dcm_data_dir)

pixels_No = get_pixels_No(bmp_data_dir)

volume=pixel_infos[0]*pixel_infos[1]*pixel_infos[2]*pixels_No/1000

return volume

# dcm = pydicom.read_file(r"E:\20181210090945_LENG HONGYING F-44Y\Venous\0000.dcm")

# print(dcm)

# print(dcm.ImagePositionPatient[2])

# print(dcm[0x0020, 0x0032].keyword,dcm[0x0020, 0x0032].value)

volume=get_volume(r"E:\20181210090945_LENG HONGYING F-44Y\Venous",r"E:\20181210090945_LENG HONGYING F-44Y\Results\LungL")

print("体积为%.1f"%volume)

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