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Diffstat (limited to 'python/astra/ASTRAProjector.py')
| -rw-r--r-- | python/astra/ASTRAProjector.py | 138 |
1 files changed, 0 insertions, 138 deletions
diff --git a/python/astra/ASTRAProjector.py b/python/astra/ASTRAProjector.py deleted file mode 100644 index 96acb10..0000000 --- a/python/astra/ASTRAProjector.py +++ /dev/null @@ -1,138 +0,0 @@ -#----------------------------------------------------------------------- -#Copyright 2013 Centrum Wiskunde & Informatica, Amsterdam -# -#Author: Daniel M. Pelt -#Contact: D.M.Pelt@cwi.nl -#Website: http://dmpelt.github.io/pyastratoolbox/ -# -# -#This file is part of the Python interface to the -#All Scale Tomographic Reconstruction Antwerp Toolbox ("ASTRA Toolbox"). -# -#The Python interface to 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 Python interface to 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 Python interface to the ASTRA Toolbox. If not, see <http://www.gnu.org/licenses/>. -# -#----------------------------------------------------------------------- - -import math -from . import creators as ac -from . import data2d - - -class ASTRAProjector2DTranspose(): - """Implements the ``proj.T`` functionality. - - Do not use directly, since it can be accessed as member ``.T`` of - an :class:`ASTRAProjector2D` object. - - """ - def __init__(self, parentProj): - self.parentProj = parentProj - - def __mul__(self, data): - return self.parentProj.backProject(data) - - -class ASTRAProjector2D(object): - """Helps with various common ASTRA Toolbox 2D operations. - - This class can perform several often used toolbox operations, such as: - - * Forward projecting - * Back projecting - * Reconstructing - - Note that this class has a some computational overhead, because it - copies a lot of data. If you use many repeated operations, directly - using the PyAstraToolbox methods directly is faster. - - You can use this class as an abstracted weight matrix :math:`W`: multiplying an instance - ``proj`` of this class by an image results in a forward projection of the image, and multiplying - ``proj.T`` by a sinogram results in a backprojection of the sinogram:: - - proj = ASTRAProjector2D(...) - fp = proj*image - bp = proj.T*sinogram - - :param proj_geom: The projection geometry. - :type proj_geom: :class:`dict` - :param vol_geom: The volume geometry. - :type vol_geom: :class:`dict` - :param proj_type: Projector type, such as ``'line'``, ``'linear'``, ... - :type proj_type: :class:`string` - :param useCUDA: If ``True``, use CUDA for calculations, when possible. - :type useCUDA: :class:`bool` - """ - - def __init__(self, proj_geom, vol_geom, proj_type, useCUDA=False): - self.vol_geom = vol_geom - self.recSize = vol_geom['GridColCount'] - self.angles = proj_geom['ProjectionAngles'] - self.nDet = proj_geom['DetectorCount'] - nexpow = int(pow(2, math.ceil(math.log(2 * self.nDet, 2)))) - self.filterSize = nexpow / 2 + 1 - self.nProj = self.angles.shape[0] - self.proj_geom = proj_geom - self.proj_id = ac.create_projector(proj_type, proj_geom, vol_geom) - self.useCUDA = useCUDA - self.T = ASTRAProjector2DTranspose(self) - - def backProject(self, data): - """Backproject a sinogram. - - :param data: The sinogram data or ID. - :type data: :class:`numpy.ndarray` or :class:`int` - :returns: :class:`numpy.ndarray` -- The backprojection. - - """ - vol_id, vol = ac.create_backprojection( - data, self.proj_id, useCUDA=self.useCUDA, returnData=True) - data2d.delete(vol_id) - return vol - - def forwardProject(self, data): - """Forward project an image. - - :param data: The image data or ID. - :type data: :class:`numpy.ndarray` or :class:`int` - :returns: :class:`numpy.ndarray` -- The forward projection. - - """ - sin_id, sino = ac.create_sino(data, self.proj_id, useCUDA=self.useCUDA, returnData=True) - data2d.delete(sin_id) - return sino - - def reconstruct(self, data, method, **kwargs): - """Reconstruct an image from a sinogram. - - :param data: The sinogram data or ID. - :type data: :class:`numpy.ndarray` or :class:`int` - :param method: Name of the reconstruction algorithm. - :type method: :class:`string` - :param kwargs: Additional named parameters to pass to :func:`astra.creators.create_reconstruction`. - :returns: :class:`numpy.ndarray` -- The reconstruction. - - Example of a SIRT reconstruction using CUDA:: - - proj = ASTRAProjector2D(...) - rec = proj.reconstruct(sinogram,'SIRT_CUDA',iterations=1000) - - """ - kwargs['returnData'] = True - rec_id, rec = ac.create_reconstruction( - method, self.proj_id, data, **kwargs) - data2d.delete(rec_id) - return rec - - def __mul__(self, data): - return self.forwardProject(data) |