def test_VFA_model_kspace_TGV_cart_imageguess_CG(gen_noimageguess):
assert pyqmri.run(
data=pjoin(data_dir, 'VFA_cart_test_imageguess.h5'),
model='VFA',
config=pjoin(data_dir, 'default.ini'),
trafo=False,
) is None
def test_VFA_model_kspace_TGV_cart():
assert pyqmri.run(
data=os.getcwd() + '/test/VFA_cart_smalltest.h5',
model='VFA',
config=os.getcwd() + '/test/default.ini',
trafo=False,
) is None
def test_VFA_model_kspace_TGV_cart():
assert pyqmri.run(
data=pjoin(data_dir, 'VFA_cart_smalltest.h5'),
model='VFA',
config=pjoin(data_dir, 'default.ini'),
trafo=False,
) is None
def test_VFA_model_kspace_TGV_cart_imageguess_CG(gen_noimageguess):
assert pyqmri.run(
data=os.getcwd() + '/test/VFA_cart_test_imageguess.h5',
model='VFA',
config=os.getcwd() + '/test/default.ini',
trafo=False,
) is None
def test_General_model_kspace_TGV_double():
assert pyqmri.run(
data=pjoin(data_dir, 'smalltest.h5'),
config=pjoin(data_dir, 'default.ini'),
modelfile=pjoin(data_dir, 'models.ini'),
double_precision=True,
) is None
def test_VFA_model_kspace_TGV_cart_coilguess_radial(gen_data_nocoils_radial):
assert pyqmri.run(
data=pjoin(data_dir, 'VFA_radial_test_coilguess.h5'),
model='VFA',
config=pjoin(data_dir, 'default.ini'),
trafo=True,
useCGguess=False,
) is None
def test_VFA_model_kspace_TGV_cart_coilguess_radial(gen_data_nocoils_radial):
assert pyqmri.run(
data=os.getcwd() + '/test/VFA_radial_test_coilguess.h5',
model='VFA',
config=os.getcwd() + '/test/default.ini',
trafo=True,
useCGguess=False,
) is None
def test_VFA_model_kspace_TV_double():
assert pyqmri.run(
data=pjoin(data_dir, 'smalltest.h5'),
model='VFA',
config=pjoin(data_dir, 'default.ini'),
reg_type='TV',
double_precision=True,
) is None
def test_VFA_model_kspace_TGV_cart_coilguess_double(gen_data_nocoils):
assert pyqmri.run(
data=pjoin(data_dir, 'VFA_cart_test_coilguess.h5'),
model='VFA',
config=pjoin(data_dir, 'default.ini'),
trafo=False,
useCGguess=False,
double_precision=True,
) is None
def test_VFA_model_kspace_TV_cart_multislice_streamed(gen_multislice_data):
assert pyqmri.run(data=pjoin(data_dir, 'VFA_cart_test.h5'),
model='VFA',
config=pjoin(data_dir, 'default.ini'),
trafo=False,
slices=4,
streamed=1,
devices=0,
reg_type='TV') is None
def test_VFA_model_kspace_TV_cart_multislice_streamed(gen_multislice_data):
assert pyqmri.run(data=os.getcwd() + '/test/VFA_cart_test.h5',
model='VFA',
config=os.getcwd() + '/test/default.ini',
trafo=False,
slices=4,
streamed=1,
devices=0,
reg_type='TV') is None
def test_VFA_model_imagespace_TGV():
assert pyqmri.run(data=os.getcwd() + '/test/smalltest.h5',
model='VFA',
imagespace=True,
config=os.getcwd() + '/test/default.ini') is None
def test_VFA_model_kspace_TGV_cart_multislice(gen_multislice_data):
assert pyqmri.run(data=pjoin(data_dir, 'VFA_cart_test.h5'),
model='VFA',
config=pjoin(data_dir, 'default.ini'),
trafo=False,
slices=4) is None
def test_VFA_model_kspace_TGV_cart_multislice(gen_multislice_data):
assert pyqmri.run(data=os.getcwd() + '/test/VFA_cart_test.h5',
model='VFA',
config=os.getcwd() + '/test/default.ini',
trafo=False,
slices=4) is None
def test_VFA_model_imagespace_TGV():
assert pyqmri.run(data=pjoin(data_dir, 'smalltest.h5'),
model='VFA',
imagespace=True,
config=pjoin(data_dir, 'default.ini')) is None
def test_General_model_kspace_TGV():
assert pyqmri.run(data=pjoin(data_dir, 'smalltest.h5'),
config=pjoin(data_dir, 'default.ini'),
modelfile=pjoin(data_dir, 'models.ini')) is None
def test_VFA_model_kspace_TV():
assert pyqmri.run(data=pjoin(data_dir, 'smalltest.h5'),
model='VFA',
config=pjoin(data_dir, 'default.ini'),
reg_type='TV') is None
def test_VFA_model_kspace_TV():
assert pyqmri.run(data=os.getcwd() + '/test/smalltest.h5',
model='VFA',
config=os.getcwd() + '/test/default.ini',
reg_type='TV') is None
def test_General_model_kspace_TGV():
assert pyqmri.run(data=os.getcwd() + '/test/smalltest.h5',
config=os.getcwd() + '/test/default.ini',
modelfile=os.getcwd() + '/test/models.ini') is None
