def getfiles(self):
# load sinogram of 512x512 MRI phantom
self.sino = np.load(utilstest.getfile("sino500.npz"))["data"]
# load reconstruction made with ASTRA FBP (with filter designed in spatial domain)
self.reference_rec = np.load(
utilstest.getfile("rec_astra_500.npz"))["data"]
def getfiles(self):
# load 512x512 MRI phantom
self.phantom = np.load(utilstest.getfile("Brain512.npz"))["data"]
# load sinogram computed with PyHST
self.sino = np.load(utilstest.getfile("sino500_pyhst.npz"))["data"]
def getfiles(self):
# load 512x512 MRI phantom - TODO include Lena or ascent once a .npz is available
self.image = np.load(utilstest.getfile("Brain512.npz"))["data"]
def getfiles(self):
# load 512x512 MRI phantom
self.phantom = np.load(utilstest.getfile("Brain512.npz"))["data"]
# load sinogram computed with PyHST
self.sino = np.load(utilstest.getfile("sino500_pyhst.npz"))["data"]
def getfiles(self):
# load 512x512 MRI phantom - TODO include Lena or ascent once a .npz is available
self.image = np.load(utilstest.getfile("Brain512.npz"))["data"]
def getfiles(self):
# load sinogram of 512x512 MRI phantom
self.sino = numpy.load(utilstest.getfile("sino500.npz"))["data"]
# load reconstruction made with ASTRA FBP (with filter designed in spatial domain)
self.reference_rec = numpy.load(utilstest.getfile("rec_astra_500.npz"))["data"]
def setUp(self):
self.sinoTrueData = numpy.load(
utilstest.getfile("sino500.npz"))["data"]
