标签: medical-imaging

提供来自 DICOM 标头的以下信息，如何计算体素大小的第三个值？我假设前两个值是 0.515625 和 0.515625。

BitsAllocated: "16"
BitsStored: "12"
Columns: 512
HighBit: "11"
ImageOrientation: "1\0\0\0\-1\0"
ImagePosition: "-144\-34.7242241\925.599976"
ImageType: "ORIGINAL\PRIMARY\AXIAL\HELIX"
InstanceNumber: "456"
Modality: "CT"
PhotometricInterpretation: "MONOCHROME2"
PixelRepresentation: "0"
PixelSpacing: "0.515625\0.515625"
RescaleIntercept: "1"
Rows: 512
SamplesPerPixel: "1"
SeriesDescription: "CERVEAU SANS IV"
SeriesNumber: "3"
SliceThickness: "1.50"
WindowCenter: "00040\00040"
WindowWidth: "00120\00120"
imagesFormat: "jpg"
modality: "CT"
name: "soft tissue"
nodeId: "557621"
pixelHeight: "0.515625"
pixelWidth: "0.515625"

注意：我收到的是 JPEG 图像堆栈，而不是 DICOM，并且它带有一个包含我在上面发布的值的文件。如果需要，我可以返回并询问文件中的其他信息。

我有一系列(.dcm)要转换为nii.gz文件的每位患者的 dicom 文件，但以下转换没有任何反应（甚至是错误信息）...

import dicom2nifti
dicom2nifti.settings.set_gdcmconv_path('C:/Program Files/GDCM 3.0/bin/gdcmconv.exe')
dicom2nifti.convert_directory('M0_1', 'M0_1.nii.gz')

尝试其他方法时出现错误......

import dicom2nifti
dicom2nifti.settings.set_gdcmconv_path('C:/Program Files/GDCM 3.0/bin/gdcmconv.exe')
dicom2nifti.dicom_series_to_nifti('M0_1', 'M0_1.nii.gz')

错误日志：

Traceback (most recent call last):
  File ".\test.py", line 5, in <module>
    dicom2nifti.dicom_series_to_nifti('M0_1', 'M0_1.nii.gz')
  File "D:\Anaconda3\envs\pydicom\lib\site-packages\dicom2nifti\convert_dicom.py", line 78, in dicom_series_to_nifti
    return dicom_array_to_nifti(dicom_input, output_file, reorient_nifti)
  File "D:\Anaconda3\envs\pydicom\lib\site-packages\dicom2nifti\convert_dicom.py", line 112, in dicom_array_to_nifti
    if not are_imaging_dicoms(dicom_list):
  File "D:\Anaconda3\envs\pydicom\lib\site-packages\dicom2nifti\convert_dicom.py", line 151, in are_imaging_dicoms
    if common.is_philips(dicom_input):
  File "D:\Anaconda3\envs\pydicom\lib\site-packages\dicom2nifti\common.py", line 102, in is_philips
    header = dicom_input[0]
IndexError: list index out of range

文件结构：

M0_1 …