def test_core_arrayed_procpar(self):
gems_arr_te = glob.glob(vj.config['dataset_dir']+'/arrayed/'+\
'gems_*array_te*')[0]
procpar = gems_arr_te+'/procpar'
pd = vj.read_procpar(procpar)
varray = vj.read_fid(gems_arr_te)
def test_read_fid(self):
fid = glob.glob(vj.config['fids_dir']+'/gems*')[0]
varr = vj.read_fid(fid)
self.assertEqual(varr.source,'fid')
self.assertEqual(len(varr.data.shape),2)
self.assertEqual(varr.space,'fid')
self.assertEqual(varr.pd['pslabel'],'gems')
self.assertEqual(varr.apptype,'im2D')
def test_ge3d_to_kspace(self):
vj.config['verbose'] = False
seq = glob.glob(vj.config['fids_dir'] + '/ge3d*axial_*')[0]
varr = vj.read_fid(seq)
varr.to_kspace()
self.assertEqual(varr.data.shape, (128, 128, 128, 1, 4))
self.assertEqual(varr.space, 'local')
self.assertEqual(varr.vdtype, 'kspace')
def load_data():
b0dir = vj.config['dataset_dir'] + '/parameterfit/b0/gems'
seqlist = sorted(glob.glob(b0dir + '/gems*'))[4:7]
print('\nLoading gems data from: \n')
for i in seqlist:
print(i)
varr_list = []
for i in seqlist:
varr = vj.read_fid(i)
varr.to_kspace().to_anatomical().to_imagespace()
varr_list.append(varr)
return concatenate(varr_list)
def test_xrecon(self):
fid = glob.glob(vj.config['dataset_dir'] + '/xrecontest/ge3d*')[0]
varr = vj.read_fid(fid, load_data=False)
varr.to_kspace(method='xrecon')
self.assertEqual(varr.pd['rawIM'], 'y')
def test_xrecon_read_fid(self):
fid = glob.glob(vj.config['dataset_dir'] + '/xrecontest/gems*')[0]
varr = vj.read_fid(fid, xrecon=True, xrecon_space='imagespace')
self.assertEqual(varr.data.shape, (128, 128, 20, 1, 4))
self.assertEqual(varr.vdtype, 'imagespace')
