ct_scan op• Data kinds: projstack × ctgeometry → voxel
• Call: import fullseye as fs; fs.ledger.sirt_reconstruct(projections, geometry, n_iter=50, relaxation=1.0, initial=None, nonnegative=True, device='auto', on_iter=None) (to call the implementation directly, import ctscan; ctscan.sirt_reconstruct(projections, geometry, n_iter=50, relaxation=1.0, initial=None, nonnegative=True, device='auto', on_iter=None); from the registry, opstomography.get("sirt_reconstruct"))
• GPU: none (CPU reference implementation only)
SIRT: every view at once, x <- x + lam C A^T R (p - A x).
R and C are the inverse row and column sums of A. With the matched pair of this family it minimises a weighted least-squares error, and it needs no formula, so it is the route for tomosynthesis, few views and limited angle.
:param projections: (view, V, U) line integrals. :param geometry: dict from ct_scan_geometry. :param n_iter: iterations, 1 .. 5000. :param relaxation: step lam, (0, 2). :param initial: starting volume; None gives zeros. :param nonnegative: clip to >= 0 after each iteration. :param device: "auto", "cpu" or "cuda". :param on_iter: optional on_iter(iteration, volume) for a convergence curve. :returns: (Z, Y, X) float volume. :raises ValueError: on a shape that disagrees with the geometry or a relaxation
outside (0, 2). Empty input (projections with 0 elements) raises
ValueError.
• Sample-data catalog (download URLs / licences) — 2-D uses skimage.data (BSD/public domain) plus synthetic images; 3-D lists download URLs for real data sources (Stanford, PDS, …).
• Operator provenance and references — the sources of the research/methods this op family came from.
• The canonical algorithm (author, year) and its uses are named in the family usage guide above.
• ct_scan_modes — py -3.11 examples/ct_scan_modes.py
voxel as input)radon_volume · ct_forward_project
ct_scan)ct_scan_geometry · shepp_logan_3d · ellipsoid_phantom · ellipsoid_projections · ct_forward_project · ct_adjoint_project · fdk_reconstruct · os_sart_reconstruct
*Provenance: ctscan.py — TOMOGRAPHY operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.