python 读取DICOM头文件的实例

yipeiwu_com7年前Python基础

用dicompyler软件打开dicom图像,头文件如图所示:

当然也可以直接读取:

ds = dicom.read_file('H:\Data\data\\21662\\2.16.840.1.113662.2.0.105002416.1489146183.701\CT\\CT#0#21662#E7AB693D.dcm')
print ds
>>
(0008, 0008) Image Type       CS: ['ORIGINAL', 'SECONDARY', 'AXIAL']
(0008, 0016) SOP Class UID      UI: CT Image Storage
(0008, 0018) SOP Instance UID     UI: 2.16.840.1.113662.2.0.105002416.1489146183.501.0
(0008, 0020) Study Date       DA: '20170310'
(0008, 0021) Series Date       DA: '20170310'
(0008, 0023) Content Date      DA: '20060505'
(0008, 0030) Study Time       TM: '1942'
(0008, 0031) Series Time       TM: '1942'
(0008, 0033) Content Time      TM: ''
(0008, 0050) Accession Number     SH: '63071'
(0008, 0060) Modality       CS: 'CT'
(0008, 0070) Manufacturer      LO: 'NOMOS'
(0008, 0090) Referring Physician's Name   PN: ''
(0008, 1010) Station Name      SH: ''
(0008, 1090) Manufacturer's Model Name   LO: 'CORVUS 6.4'
(0010, 0010) Patient's Name      PN: '*M32-2^CHENJUN^^^'
(0010, 0020) Patient ID       LO: '21662'
(0010, 0030) Patient's Birth Date    DA: ''
(0010, 0040) Patient's Sex      CS: ''
(0018, 0050) Slice Thickness      DS: '4.75'
(0018, 0060) KVP         DS: '0'
(0018, 1020) Software Version(s)     LO: 'CORVUS 6.4'
(0018, 5100) Patient Position     CS: 'HFS'
(0020, 000d) Study Instance UID     UI: 2.16.840.1.113662.2.0.105002416.1489146183.701
(0020, 000e) Series Instance UID     UI: 2.16.840.1.113662.2.0.105002416.1489146183.501
(0020, 0010) Study ID       SH: '63071'
(0020, 0011) Series Number      IS: '0'
(0020, 0012) Acquisition Number     IS: '0'
(0020, 0013) Instance Number      IS: '0'
(0020, 0020) Patient Orientation     CS: ['L', 'P']
(0020, 0032) Image Position (Patient)   DS: ['0.73437356948853', '0', '3.25']
(0020, 0037) Image Orientation (Patient)   DS: ['1', '0', '0', '0', '1', '0']
(0020, 0052) Frame of Reference UID    UI: 2.16.840.1.113662.2.0.105002416.1489146183.601
(0020, 0060) Laterality       CS: ''
(0020, 1040) Position Reference Indicator  LO: ''
(0020, 1041) Slice Location      DS: '3.25'
(0028, 0002) Samples per Pixel     US: 1
(0028, 0004) Photometric Interpretation   CS: 'MONOCHROME2'
(0028, 0010) Rows        US: 330
(0028, 0011) Columns        US: 339
(0028, 0030) Pixel Spacing      DS: ['0.734375', '0.734375']
(0028, 0100) Bits Allocated      US: 16
(0028, 0101) Bits Stored       US: 12
(0028, 0102) High Bit       US: 11
(0028, 0103) Pixel Representation    US: 0
(0028, 1052) Rescale Intercept     DS: '-1024'
(0028, 1053) Rescale Slope      DS: '1'
(7fe0, 0010) Pixel Data 

发现一套图的第一张和最后一张的Slice Thickness往往和中间层的值是不同的。

Path = 'H:\Data\data\\21662\\2.16.840.1.113662.2.0.105002416.1489146183.701\CT\\a.dcm'
slices = dicom.read_file(path)
spacing = slices.PixelSpacing

读取头文件信息方法:

Slices.上图头文件中的name列。

这时要注意的是,name大小写不变,去掉空格,去掉符号,比如括号。

举例:

origin = slices.SoftwareVersions
print origin
>>CORVUS 6.4
spacing = slices[1].PixelSpacing
print spacing
>>['0.734375', '0.734375']

以上这篇python 读取DICOM头文件的实例就是小编分享给大家的全部内容了,希望能给大家一个参考,也希望大家多多支持【听图阁-专注于Python设计】。

相关文章

浅谈Python3实现两个矩形的交并比(IoU)

浅谈Python3实现两个矩形的交并比(IoU)

一、前言 因为最近刚好被问到这个问题,但是自己当时特别懵逼,导致没有做出来。所以下来后自己Google了很多IoU的博客,但是很多博客要么过于简略,要么是互相转载的,有一些博客图和代码还...

python中实现k-means聚类算法详解

python中实现k-means聚类算法详解

算法优缺点: 优点:容易实现 缺点:可能收敛到局部最小值,在大规模数据集上收敛较慢 使用数据类型:数值型数据 算法思想 k-means算法实际上就是通过计算不同样本间的距离来判断他们...

Python实现 PS 图像调整中的亮度调整

本文用 Python 实现 PS 图像调整中的亮度调整,具体的算法原理和效果可以参考之前的博客: /post/164191.htm import matplotlib.pyplot...

python输入多行字符串的方法总结

Python中输入多行字符串: 方法一:使用三引号 >>> str1 = '''Le vent se lève, il faut tenter de vivre....

python2 与 pyhton3的输入语句写法小结

什么是输入 咱们在银行ATM机器前取钱时,肯定需要输入密码,对不? 那么怎样才能让程序知道咱们刚刚输入的是什么呢?? 大家应该知道了,如果要完成ATM机取钱这件事情,需要先从键盘中输入一...