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：
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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。
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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：
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origin = slices.softwareversionsprint origin>>corvus 6.4 |
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spacing = slices[1].pixelspacingprint 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服务器之家。
原文链接：https://blog.csdn.net/sunyao_123/article/details/73655897
