1 files changed, 101 insertions, 0 deletions
diff --git a/src/processors/UfoStackedBackProjector.py b/src/processors/UfoStackedBackProjector.py
new file mode 100644
index 0000000..a08b0c4
--- /dev/null
+++ b/src/processors/UfoStackedBackProjector.py
@@ -0,0 +1,101 @@
+import tifffile
+from cil.framework import DataProcessor, ImageData, DataOrder
+import gi
+
+gi.require_version('Ufo', '0.0')
+from gi.repository import Ufo
+import numpy as np
+
+
+class UfoStackedBackProjector(DataProcessor):
+
+    def __init__(self,
+                 volume_geometry=None,
+                 sinogram_geometry=None,
+                 precision_mode=None,
+                 stack_num=None):
+        kwargs = {
+            'volume_geometry': volume_geometry,
+            'sinogram_geometry': sinogram_geometry,
+            'precision_mode': precision_mode,
+            'stack_num': stack_num}
+
+        super(UfoStackedBackProjector, 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.shape != dataset.geometry.shape:
+            raise ValueError("Dataset not compatible with geometry used to create the projector")
+
+        return True
+
+    def set_ImageGeometry(self, volume_geometry):
+
+        DataOrder.check_order_for_engine('astra', volume_geometry)
+
+        if len(volume_geometry.dimension_labels) > 3:
+            raise ValueError("Supports 2D and 3D data only, got {0}".format(volume_geometry.number_of_dimensions))
+
+        self.volume_geometry = volume_geometry.copy()
+
+    def set_AcquisitionGeometry(self, sinogram_geometry):
+
+        DataOrder.check_order_for_engine('astra', sinogram_geometry)
+
+        if len(sinogram_geometry.dimension_labels) > 3:
+            raise ValueError("Supports 2D and 3D data only, got {0}".format(self.volume_geometry.number_of_dimensions))
+
+        self.sinogram_geometry = sinogram_geometry.copy()
+
+    def process(self, out=None):
+
+        DATA = self.get_input()
+
+        data_temp = DATA.as_array()
+
+        arr_out = self.create_backprojection(data_temp, out)
+
+        if out is None:
+            out = ImageData(arr_out, deep_copy=False, geometry=self.volume_geometry.copy(), suppress_warning=True)
+            return out
+        else:
+            out.fill(arr_out)
+
+    def create_backprojection(self, sino, vol):
+
+        pm = Ufo.PluginManager()
+        graph = Ufo.TaskGraph()
+        scheduler = Ufo.Scheduler()
+
+        read = pm.get_task('memory-in')
+        read.props.pointer = sino.__array_interface__['data'][0]
+        read.props.width = sino.shape[0]
+        read.props.height = sino.shape[1]
+        read.props.number = sino.shape[2]
+        read.props.bitdepth = 32
+
+        stack = pm.get_task('stack')
+        stack.props.number = self.stack_num
+
+        stacked_bp = pm.get_task('stacked-backproject')
+        stacked_bp.props.axis_pos = sino.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, stack)
+        graph.connect_nodes(stack, stacked_bp)
+        graph.connect_nodes(stacked_bp, write)
+
+        scheduler.run(graph)
+
+        return vol_arr