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from ccpi.framework import DataProcessor, ImageData, AcquisitionData
from ccpi.astra.utils import convert_geometry_to_astra
from ccpi.astra.processors import AstraBackProjector
import astra
class AstraBackProjectorMC(AstraBackProjector):
'''AstraBackProjector Multi channel
Back project AcquisitionData to ImageData using ASTRA proj_id.
Input: AcquisitionData
Parameter: proj_id
Output: ImageData
'''
def check_input(self, dataset):
if dataset.number_of_dimensions == 2 or \
dataset.number_of_dimensions == 3 or \
dataset.number_of_dimensions == 4:
return True
else:
raise ValueError("Expected input dimensions is 2 or 3, got {0}"\
.format(dataset.number_of_dimensions))
def process(self, out=None):
DATA = self.get_input()
IM = ImageData(geometry=self.volume_geometry)
for k in range(IM.geometry.channels):
rec_id, IM.as_array()[k] = astra.create_backprojection(
DATA.as_array()[k],
self.proj_id)
astra.data2d.delete(rec_id)
if self.device == 'cpu':
ret = IM
else:
scaling = self.volume_geometry.voxel_size_x**3
ret = scaling*IM
if out is None:
return ret
else:
out.fill(ret)
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