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Diffstat (limited to 'Wrappers/Python/ccpi/astra/operators/AstraProjector3DMC.py')
| -rw-r--r-- | Wrappers/Python/ccpi/astra/operators/AstraProjector3DMC.py | 116 |
1 files changed, 116 insertions, 0 deletions
diff --git a/Wrappers/Python/ccpi/astra/operators/AstraProjector3DMC.py b/Wrappers/Python/ccpi/astra/operators/AstraProjector3DMC.py new file mode 100644 index 0000000..b7b52ef --- /dev/null +++ b/Wrappers/Python/ccpi/astra/operators/AstraProjector3DMC.py @@ -0,0 +1,116 @@ +# -*- coding: utf-8 -*- +# This work is independent part of the Core Imaging Library developed by +# Visual Analytics and Imaging System Group of the Science Technology +# Facilities Council, STFC +# This program is free software: you can redistribute it and/or modify +# it under the terms of the GNU General Public License as published by +# the Free Software Foundation, either version 3 of the License, or +# (at your option) any later version. +# +# This program is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the +# GNU General Public License for more details. +# +# You should have received a copy of the GNU General Public License +# along with this program. If not, see <http://www.gnu.org/licenses/>. + +from ccpi.optimisation.operators import LinearOperator +from ccpi.astra.operators import AstraProjector3DSimple +import numpy as np + + +class AstraProjector3DMC(LinearOperator): + + """ASTRA projector modified to use DataSet and geometry.""" + def __init__(self, geomv, geomp): + super(AstraProjector3DMC, self).__init__() + + # Store volume and sinogram geometries. + self.sinogram_geometry = geomp + self.volume_geometry = geomv + + self.igtmp3D = self.volume_geometry.clone() + self.igtmp3D.channels = 1 + self.igtmp3D.shape = self.volume_geometry.shape[1:] + self.igtmp3D.dimension_labels = ['vertical', 'horizontal_y', 'horizontal_x'] + + self.agtmp3D = self.sinogram_geometry.clone() + self.agtmp3D.channels = 1 + self.agtmp3D.shape = self.sinogram_geometry.shape[1:] + self.agtmp3D.dimension_labels = ['vertical', 'angle', 'horizontal'] + + self.A3D = AstraProjector3DSimple(self.igtmp3D, self.agtmp3D) + + self.s1 = None + self.channels = self.volume_geometry.channels + + def direct(self, x, out = None): + + if out is None: + + tmp = self.sinogram_geometry.allocate() + for k in range(self.channels): + t = self.A3D.direct(x.subset(channel=k)) + np.copyto(tmp.array[k], t.array) + return tmp + + else: + + for k in range(self.channels): + tmp = self.A3D.direct(x.subset(channel=k)) + np.copyto(out.array[k], tmp.array) + + def adjoint(self, x, out = None): + + if out is None: + + tmp = self.volume_geometry.allocate() + for k in range(self.channels): + t = self.A3D.adjoint(x.subset(channel=k)) + np.copyto(tmp.array[k], t.array) + return tmp + + else: + + for k in range(self.channels): + tmp = self.A3D.adjoint(x.subset(channel=k)) + np.copyto(out.array[k], tmp.array) + + def domain_geometry(self): + return self.volume_geometry + + def range_geometry(self): + return self.sinogram_geometry + + def calculate_norm(self): + + return self.A3D.norm() + + + +if __name__ == '__main__': + + from ccpi.framework import ImageGeometry, AcquisitionGeometry + + N = 30 + channels = 5 + angles = np.linspace(0, np.pi, 180) + ig = ImageGeometry(N, N, N, channels = channels) + ag = AcquisitionGeometry('parallel','3D', angles, pixel_num_h = N, pixel_num_v=5, channels = channels) + + A3DMC = AstraProjector3DMC(ig, ag) + z = A3DMC.norm() + +# igtmp3D = A3DMC.volume_geometry.clone() +# igtmp3D.channels = 1 +# igtmp3D.shape = A3DMC.volume_geometry.shape[1:] +# igtmp3D.dimension_labels = ['vertical', 'horizontal_y', 'horizontal_x'] +# +# agtmp3D = A3DMC.sinogram_geometry.clone() +# agtmp3D.channels = 1 +# agtmp3D.shape = A3DMC.sinogram_geometry.shape[1:] +# agtmp3D.dimension_labels = ['vertical', 'angle', 'horizontal'] +# +# A3D = AstraProjector3DSimple(igtmp3D, agtmp3D) +# z = A3D.norm()
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