Generates dummy medical images, with junk image data but realistic headers, to test imaging handling pipelines
Medimage4tests is available on PyPI so to install, simply use pip
$ pip3 install medimages4testsor include in your package's test_requires.
Create a pytest fixture consisting of a dummy image with field-map metadata in DICOM format
# Import medimages4tests generator functions
from medimages4tests.dummy.dicom.mri.fmap.ge.discovery_mr888.dv26_0_r05_2008a import get_image
# Return generated images in pytest fixtures (or alternative test framework)
@pytest.fixture()
def ge_dicom_fmap():
return get_image()Create a dummy NIfTI image
import numpy
# Import `get_image` function
from medimages4tests.dummy.nifti import get_image
# Create dummy nifti image of 10x10x10 containing all ones
@pytest.fixture()
def ones_nifti():
return get_image(
data=numpy.ones((10, 10, 10))
)Access real T1-weighted from OpenNeuro.org
from medimages4tests.mri.neuro.t1w import get_image
@pytest.fixture()
def t1w_nifti():
return get_image(sample="ds004130-ON01016")
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