python 读取DICOM头文件

用dicompyler软件打开dicom图像,头文件如图所示:
python 读取DICOM头文件_第1张图片
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                          OW: Array of 223740 bytes

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']

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