Note

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# Read a Dataset and plot Pixel Data

This example illustrates how to open a DICOM file, print some dataset information, and show it using matplotlib.

    File path........: /src/pydicom/data/test_files/CT_small.dcm
    SOP Class........: 1.2.840.10008.5.1.4.1.1.2 (CT Image Storage)

    Patient's Name...: CompressedSamples, CT1
    Patient ID.......: 1CT1
    Modality.........: CT
    Study Date.......: 20040119
    Image size.......: 128 x 128
    Pixel Spacing....: [0.661468, 0.661468]
    Slice location...: -77.2040634155

    # authors : Guillaume Lemaitre <g.lemaitre58@gmail.com>
    # license : MIT

    import matplotlib.pyplot as plt
    from pydicom import dcmread
    from pydicom.data import get_testdata_file

    path = get_testdata_file("CT_small.dcm")
    ds = dcmread(path)

    # Normal mode:
    print()
    print(f"File path........: {path}")
    print(f"SOP Class........: {ds.SOPClassUID} ({ds.SOPClassUID.name})")
    print()

    pat_name = ds.PatientName
    print(f"Patient's Name...: {pat_name.family_comma_given()}")
    print(f"Patient ID.......: {ds.PatientID}")
    print(f"Modality.........: {ds.Modality}")
    print(f"Study Date.......: {ds.StudyDate}")
    print(f"Image size.......: {ds.Rows} x {ds.Columns}")
    print(f"Pixel Spacing....: {ds.PixelSpacing}")

    # use .get() if not sure the item exists, and want a default value if missing
    print(f"Slice location...: {ds.get('SliceLocation', '(missing)')}")

    # plot the image using matplotlib
    plt.imshow(ds.pixel_array, cmap=plt.cm.gray)
    plt.show()

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