mirtorch.linear.ct.Bdd

class mirtorch.linear.ct.Bdd(size_in: Sequence[int], size_out: Sequence[int], DSD: int, DS0: int, pSize: float, dSize: float, nPix: int, nDet: int, angle: Tensor)

Forward and back-projection methods for CT image reconstruction. Designed for use with the Michigan Image Reconstruction Toolbox (MIRT) or similar frameworks.

DSD

int, distance from source to detector

DS0

int, distance from source to origin

pSize

float, pixel size i.e. distance from one pixel to the next

dSize

float, detector size i.e. distance from one detector to the next

nPix

int, number of pixel boundaries

nDet

int, number of detector boundaries

angle

tensor with dimension [1, ny], vector of projection view angles in radians

__init__(size_in: Sequence[int], size_out: Sequence[int], DSD: int, DS0: int, pSize: float, dSize: float, nPix: int, nDet: int, angle: Tensor)

Initiate the linear operator.

Methods

__init__(size_in, size_out, DSD, DS0, pSize, ...)	Initiate the linear operator.
adjoint(x)	Apply the adjoint operator
apply(x)	Apply the forward operator
common(proj[, device])	Common sequence in both forward and back projections :param proj: int, one projection index in angle vector
to(*args, **kwargs)	Copy to different devices

Attributes

H	Apply the (Hermitian) transpose