Comments (1)
ODL does not compute the ray transform (or its adjoint) itself, it relies on external packages for this. The most commonly used package is ASTRA, for certain 2D geometries you may also use scikit-image. I suggest you consult the documentation in these packages to know about how the line integrals are computed.
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Related Issues (20)
- fan2para
- scipy warning with BroadcastOperator and sparse matrices HOT 1
- Issue when using odl and import pytorch HOT 5
- FISTA for tomographic reconstruction HOT 6
- Do ADMM and PDHG algorithms have positivity constraints or padding?
- ImportError: cannot import name 'OperatorAsModule' from 'odl.contrib.torch' HOT 1
- Proximal of LInfty wrong? HOT 7
- pytorch autograd depreciated HOT 4
- FBP not scaled when PYFFTW_AVAILABLE is True HOT 4
- odl.tomo.backends.skimage_randon.skimage_radon_back_projector not compatible with skimage==0.19
- primal_dual_hybrid_gradient solver: why compute derivative ? HOT 1
- Reconstruct Mayo dataset - errors in importing statements
- odl.operator.operator.OpDomainError: unable to cast tensor to an element of the domain uniform_discr
- question about odl_torch.OperatorModule
- Error with compatibility with latest numpy version HOT 1
- RayTransform: ValueError: The 'astra_cuda' `impl` is not found. HOT 6
- The problem about indexing parallel2Dgeometry HOT 1
- BroadcastOperator doesn't work with scipy > 1.8.1 HOT 4
- AttributeError: module 'numpy' has no attribute 'object' HOT 3
- Python version HOT 2
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