1 files changed, 85 insertions, 0 deletions
diff --git a/src/processors/FBP_Stacked.py b/src/processors/FBP_Stacked.py
new file mode 100644
index 0000000..b6310a1
--- /dev/null
+++ b/src/processors/FBP_Stacked.py
@@ -0,0 +1,85 @@
+from cil.framework import DataProcessor, ImageData
+import numpy as np
+
+import gi
+gi.require_version('Ufo','0.0')
+from gi.repository import Ufo
+
+class FBP_Stacked(DataProcessor):
+    def __init__(self, volume_geometry,
+                 sinogram_geometry,
+                 precision_mode='single',
+                 stack_num=2):
+
+        kwargs = {
+            'volume_geometry': volume_geometry,
+            'sinogram_geometry': sinogram_geometry,
+            'precision_mode': precision_mode,
+            'stack_num': stack_num}
+
+        super(FBP_Stacked, self).__init__(**kwargs)
+
+        self.precision_mode = precision_mode
+        self.stack_num = stack_num
+        self.set_ImageGeometry(volume_geometry)
+        self.set_AcquisitionGeometry(sinogram_geometry)
+
+    def check_input(self, dataset):
+        if self.sinogram_geometry.dimension == '2D':
+            raise ValueError("Expected input dimensions is 3, got {0}" \
+                             .format(dataset.number_of_dimensions))
+        return True
+
+    def set_ImageGeometry(self, volume_geometry):
+        self.volume_geometry = volume_geometry
+
+    def set_AcquisitionGeometry(self, sinogram_geometry):
+        self.sinogram_geometry = sinogram_geometry
+
+    def process(self, **kwargs):
+        # Get DATA
+        DATA = self.get_input()
+        DATA = DATA.as_array()
+
+        pm = Ufo.PluginManager()
+        graph = Ufo.TaskGraph()
+        scheduler = Ufo.Scheduler()
+
+        read = pm.get_task('memory-in')
+        read.props.pointer = DATA.__array_interface__['data'][0]
+        read.props.width = DATA.shape[1]
+        read.props.height = DATA.shape[0]
+        read.props.number = DATA.shape[2]
+        read.props.bitdepth = 32
+
+        fft = pm.get_task('fft')
+        fft.props.dimensions = 1
+
+        filter = pm.get_task('filter')
+
+        ifft = pm.get_task('ifft')
+        ifft.props.dimensions = 1
+
+        stack = pm.get_task('stack')
+        stack.props.number = self.stack_num
+
+        stacked_bp = pm.get_task('stacked-backproject')
+        stacked_bp.props.axis_pos = DATA.shape[1] / 2
+        stacked_bp.props.precision_mode = self.precision_mode
+
+        vol_arr = np.zeros(self.volume_geometry.shape, dtype=np.float32)
+
+        write = pm.get_task('memory-out')
+        write.props.pointer = vol_arr.__array_interface__['data'][0]
+        write.props.max_size = vol_arr.nbytes
+
+        graph.connect_nodes(read, fft)
+        graph.connect_nodes(fft, filter)
+        graph.connect_nodes(filter, ifft)
+        graph.connect_nodes(ifft, stack)
+        graph.connect_nodes(stack, stacked_bp)
+        graph.connect_nodes(stacked_bp, write)
+
+        scheduler.run(graph)
+        vol_arr = ImageData(vol_arr, deep_copy=False, geometry=self.volume_geometry.copy(), suppress_warning=True)
+        return vol_arr