The ultrasound data collected from the hospital is more chaotic because of the large time span, and the equipment difference is more chaotic. If you think about how to find these DICOM formatted files, then aiming at Pydicom. Chinese materials are also mixed, and they simply go to their official documents. The installation method is very simple in Anaconda Pip Install Pydicom

Reference:Pydicom official documentation
version: pydicom 2.0.0

Data reading

Data readingdmread()

import pydicom

fpath='us13.DCM'
dcm=pydicom.dcmread(fpath)

Sometimes the following error may occur

raise InvalidDicomError("File is missing DICOM File Meta Information "
  pydicom.errors.InvalidDicomError: File is missing DICOM File Meta Information header or the 'DICM' prefix is missing from the header. Use force=True to force reading.

This is due to the loss caused by information in the DICOM file or this file is not a DICOM file but contains DICOM data, and if it is confident that this file contains DICOM data, it should call the Force parameter to call the Force parameter to call the Force parameter according to the prompt.

dcm=pydicom.dcmread(fpath,force=True)

Access to information

After completing the above DICOM file, you can print out the header file information using the Print instruction.

import pydicom

fpath='us13.DCM'
dcm=pydicom.dcmread(fpath)
print(dcm)

Some screenshot of the output

Data writing

The simplest way can be usedsace_as()Save data

dcm.save_as('out.dcm')

By default,save_as()It is written in the file in the original way. This means that even if your data set does not meet the DICOM file format, it will still be strictly written in a given format. To determine that you are writing a data set in a DICOM file format, you can usewrite_like_originalKeyword parameters:

dcm.save_as('out.dcm', write_like_original=False)

The above operation will automatically add the missing header file information in the file. If it is not possible to successfully complete, it will report an error.

ValueError: Missing required File Meta Information elements from 'file_meta':
          (0002, 0010) TransferSyntaxUID

At this time, you need to manually make relevant information, and save it.

dcm.file_meta = FileMetaDataset()
dcm.file_meta.TransferSyntaxUID = '1.2.840.10008.1.2.1'
dcm.save_as('out.dcm', write_like_original=False)

Visualization using matplotlib

import pydicom
from matplotlib import pyplot as plt


fpath='US6.DCM'
dataset=pydicom.dcmread(fpath)

if 'PixelData' in dataset:
    rows = int(dataset.Rows)
    cols = int(dataset.Columns)
    print("Image size.......: {rows:d} x {cols:d}, {size:d} bytes".format(
        rows=rows, cols=cols, size=len(dataset.PixelData)))
    if 'PixelSpacing' in dataset:
        print("Pixel spacing....:", dataset.PixelSpacing)

plt.imshow(dataset.pixel_array, cmap=plt.cm.bone)
plt.show()