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 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"]