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Generates dummy medical image data with realistic headers to be used in image handling tests

Project description

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Generates dummy medical images, with junk image data but realistic headers, to test imaging handling pipelines

Installation

Medimage4tests is available on PyPI so to install, simply use pip

$ pip3 install medimages4tests

or include in your package’s test_requires.

Usage

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))
    )

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