ct_scan op• Data kinds: none → voxel (an op determined by its arguments alone — it takes no image or data input)
• Call: import fullseye as fs; fs.ledger.ellipsoid_phantom(shape=(128, 128, 128), ellipsoids=None, supersample=2) (to call the implementation directly, import ctscan; ctscan.ellipsoid_phantom(shape=(128, 128, 128), ellipsoids=None, supersample=2); from the registry, opstomography.get("ellipsoid_phantom"))
• GPU: none (CPU reference implementation only)
Rasterise a sum of uniform ellipsoids onto a (Z, Y, X) grid.
The normalised cube [-1, 1]^3 maps onto the grid with half-width X/2 voxels on every axis, so voxels stay cubic. Each voxel is the mean of supersample^3 sub-samples, so an edge voxel carries its true volume fraction.
:param shape: (Z, Y, X), or one int for a cube. :param ellipsoids: (N, 8) rows; None gives SHEPP_LOGAN_3D. :param supersample: anti-alias factor per axis, 1 .. 4. :returns: float64 volume. :raises ValueError: on a degenerate ellipsoid or an oversized grid.
• 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_projections · ct_forward_project · ct_adjoint_project · fdk_reconstruct · sirt_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.