python 读取DICOM头文件的实例
更新时间:2018年05月07日 15:11:06 作者:sunyao_123
今天小编就为大家分享一篇python 读取DICOM头文件的实例,具有很好的参考价值,希望对大家有所帮助。一起跟随小编过来看看吧
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脚本之家。
相关文章
Python多线程同步Lock、RLock、Semaphore、Event实例
这篇文章主要介绍了Python多线程同步Lock、RLock、Semaphore、Event实例,Lock & RLock 用来确保多线程多共享资源的访问,Semaphore用来确保一定资源多线程访问时的上限,Event是最简单的线程间通信的方式,需要的朋友可以参考下2014-11-11使用PIL(Python-Imaging)反转图像的颜色方法
今天小编就为大家分享一篇使用PIL(Python-Imaging)反转图像的颜色方法,具有很好的参考价值,希望对大家有所帮助。一起跟随小编过来看看吧2019-01-01
最新评论