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-rw-r--r--python/astra/plugins/__init__.py29
-rw-r--r--python/astra/plugins/cgls.py99
-rw-r--r--python/astra/plugins/sirt.py90
3 files changed, 218 insertions, 0 deletions
diff --git a/python/astra/plugins/__init__.py b/python/astra/plugins/__init__.py
new file mode 100644
index 0000000..71e9b64
--- /dev/null
+++ b/python/astra/plugins/__init__.py
@@ -0,0 +1,29 @@
+# -----------------------------------------------------------------------
+# Copyright: 2010-2016, iMinds-Vision Lab, University of Antwerp
+# 2013-2016, CWI, Amsterdam
+#
+# Contact: astra@uantwerpen.be
+# Website: http://sf.net/projects/astra-toolbox
+#
+# This file is part of the ASTRA Toolbox.
+#
+#
+# The ASTRA Toolbox 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.
+#
+# The ASTRA Toolbox 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 the ASTRA Toolbox. If not, see <http://www.gnu.org/licenses/>.
+#
+# -----------------------------------------------------------------------
+
+
+from .sirt import SIRTPlugin
+from .cgls import CGLSPlugin
+
diff --git a/python/astra/plugins/cgls.py b/python/astra/plugins/cgls.py
new file mode 100644
index 0000000..2f4970b
--- /dev/null
+++ b/python/astra/plugins/cgls.py
@@ -0,0 +1,99 @@
+# -----------------------------------------------------------------------
+# Copyright: 2010-2016, iMinds-Vision Lab, University of Antwerp
+# 2013-2016, CWI, Amsterdam
+#
+# Contact: astra@uantwerpen.be
+# Website: http://sf.net/projects/astra-toolbox
+#
+# This file is part of the ASTRA Toolbox.
+#
+#
+# The ASTRA Toolbox 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.
+#
+# The ASTRA Toolbox 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 the ASTRA Toolbox. If not, see <http://www.gnu.org/licenses/>.
+#
+# -----------------------------------------------------------------------
+
+
+import astra
+import numpy as np
+import six
+
+class CGLSPlugin(astra.plugin.base):
+ """CGLS."""
+
+ astra_name = "CGLS-PLUGIN"
+
+ def initialize(self,cfg):
+ self.W = astra.OpTomo(cfg['ProjectorId'])
+ self.vid = cfg['ReconstructionDataId']
+ self.sid = cfg['ProjectionDataId']
+
+ try:
+ v = astra.data2d.get_shared(self.vid)
+ s = astra.data2d.get_shared(self.sid)
+ self.data_mod = astra.data2d
+ except Exception:
+ v = astra.data3d.get_shared(self.vid)
+ s = astra.data3d.get_shared(self.sid)
+ self.data_mod = astra.data3d
+
+ def run(self, its):
+ v = self.data_mod.get_shared(self.vid)
+ s = self.data_mod.get_shared(self.sid)
+ z = np.zeros(v.shape, dtype=np.float32)
+ p = np.zeros(v.shape, dtype=np.float32)
+ r = np.zeros(s.shape, dtype=np.float32)
+ w = np.zeros(s.shape, dtype=np.float32)
+ W = self.W
+
+ # r = s - W*v
+ W.FP(v, out=w)
+ r[:] = s
+ r -= w
+
+ # p = W'*r
+ W.BP(r, out=p)
+
+ # gamma = <p,p>
+ gamma = np.dot(p.ravel(), p.ravel())
+
+ for i in range(its):
+ # w = W * p
+ W.FP(p, out=w)
+
+ # alpha = gamma / <w,w>
+ alpha = gamma / np.dot(w.ravel(), w.ravel())
+
+ # v += alpha * p
+ z[:] = p
+ z *= alpha
+ v += z
+
+ # r -= alpha * w
+ w *= -alpha;
+ r += w
+
+ # z = W' * r
+ W.BP(r, out=z)
+
+ # beta = <z,z> / gamma
+ newgamma = np.dot(z.ravel(), z.ravel())
+ beta = newgamma / gamma
+
+ # gamma = <z,z>
+ gamma = newgamma
+
+ # p = z + beta * p
+ p *= beta
+ p += z
+
diff --git a/python/astra/plugins/sirt.py b/python/astra/plugins/sirt.py
new file mode 100644
index 0000000..a0f1230
--- /dev/null
+++ b/python/astra/plugins/sirt.py
@@ -0,0 +1,90 @@
+# -----------------------------------------------------------------------
+# Copyright: 2010-2016, iMinds-Vision Lab, University of Antwerp
+# 2013-2016, CWI, Amsterdam
+#
+# Contact: astra@uantwerpen.be
+# Website: http://sf.net/projects/astra-toolbox
+#
+# This file is part of the ASTRA Toolbox.
+#
+#
+# The ASTRA Toolbox 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.
+#
+# The ASTRA Toolbox 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 the ASTRA Toolbox. If not, see <http://www.gnu.org/licenses/>.
+#
+# -----------------------------------------------------------------------
+
+
+import astra
+import numpy as np
+import six
+
+class SIRTPlugin(astra.plugin.base):
+ """SIRT.
+
+ Options:
+
+ 'Relaxation': relaxation factor (optional)
+ 'MinConstraint': constrain values to at least this (optional)
+ 'MaxConstraint': constrain values to at most this (optional)
+ """
+
+ astra_name = "SIRT-PLUGIN"
+
+ def initialize(self,cfg, Relaxation = 1, MinConstraint = None, MaxConstraint = None):
+ self.W = astra.OpTomo(cfg['ProjectorId'])
+ self.vid = cfg['ReconstructionDataId']
+ self.sid = cfg['ProjectionDataId']
+ self.min_constraint = MinConstraint
+ self.max_constraint = MaxConstraint
+
+ try:
+ v = astra.data2d.get_shared(self.vid)
+ s = astra.data2d.get_shared(self.sid)
+ self.data_mod = astra.data2d
+ except Exception:
+ v = astra.data3d.get_shared(self.vid)
+ s = astra.data3d.get_shared(self.sid)
+ self.data_mod = astra.data3d
+
+ self.R = self.W * np.ones(v.shape,dtype=np.float32).ravel();
+ self.R[self.R < 0.000001] = np.Inf
+ self.R = 1 / self.R
+ self.R = self.R.reshape(s.shape)
+
+ self.mrC = self.W.T * np.ones(s.shape,dtype=np.float32).ravel();
+ self.mrC[self.mrC < 0.000001] = np.Inf
+ self.mrC = -Relaxation / self.mrC
+ self.mrC = self.mrC.reshape(v.shape)
+
+
+ def run(self, its):
+ v = self.data_mod.get_shared(self.vid)
+ s = self.data_mod.get_shared(self.sid)
+ tv = np.zeros(v.shape, dtype=np.float32)
+ ts = np.zeros(s.shape, dtype=np.float32)
+ W = self.W
+ mrC = self.mrC
+ R = self.R
+ for i in range(its):
+ W.FP(v,out=ts)
+ ts -= s
+ ts *= R # ts = R * (W*v - s)
+
+ W.BP(ts,out=tv)
+ tv *= mrC
+
+ v += tv # v = v - rel * C * W' * ts
+
+ if self.min_constraint is not None or self.max_constraint is not None:
+ v.clip(min=self.min_constraint, max=self.max_constraint, out=v)
+