reconstruct op• Datenarten: sinogram → image2d
• Aufruf: import fullseye as fs; fs.ledger.backproject_sinogram(sinogram, angles_deg=None, size=None, span_deg=None) (die Implementierung direkt: import tomography; tomography.backproject_sinogram(sinogram, angles_deg=None, size=None, span_deg=None); aus dem Register: opstomography.get("backproject_sinogram"))
Einfache, ungefilterte Rückprojektion — die verwaschene Grundlinie.
> Die ausführliche Beschreibung unten ist der Originaltext — Zusammenfassung und Überschriften sind übersetzt.
Smear each projection back along the rays it came from and sum. The result is the true slice convolved with 1/|r|, so it is correct in the large and wrong everywhere in detail.
Two numbers, because only one of them is the interesting one. Raw, on the Shepp-Logan phantom with 180 views, this operator's values run 0.768 to 2.493 where the truth runs 0.0 to 0.0167 — the 1/|r| kernel has no finite integral, so an un-filtered back-projection has no meaningful absolute scale at all and its normalised RMS error against the truth is 104. After the best least-squares rescaling onto the truth — which is what any display with an auto window does for you, silently — the error is 0.168 against 0.0246 for filtered_backprojection, a factor of 6.8. That second number is the ramp filter's real contribution; the first is a warning that a picture which looks approximately right after auto-windowing can be off by a factor of 100 in the numbers underneath it.
It is a registered operator and not a private helper because the blur *is* the lesson, and because it is the correct starting point for iterative methods.
Not to be confused with fullseye.backproject, which lifts pixels into 3-D using a depth map and a camera model; that one is projective geometry, this one is an integral transform, and the only thing they share is a word.
:param sinogram: (n_angles, n_detectors), rows = angles. :param angles_deg: view angles; None -> uniform [0, 180). :param size: output side; None -> the inscribed square, n_det/sqrt2
rounded down to an odd number.
:param span_deg: angular range used for the d(theta) weight; None ->
inferred from *angles_deg* (or 180 for the default scan).
:returns: (size, size) float64 image. :raises ValueError: as filtered_backprojection.
• Katalog der Beispieldaten (Download-URLs / Lizenzen) — 2-D nutzt skimage.data (BSD/Public Domain) plus synthetische Bilder, 3-D nennt Download-URLs echter Datenquellen (Stanford, PDS, …).
• Herkunft und Literatur der Operatoren — die Quellen der Forschung/Verfahren, auf denen diese Operatorfamilie beruht.
• Der kanonische Algorithmus (Autor, Jahr) und seine Anwendungen stehen im Familienleitfaden oben.
• ct_reconstruction — py -3.11 examples/ct_reconstruction.py
• poc_ct_fidelity — py -3.11 examples/poc_ct_fidelity.py
image2d als Eingabe)reconstruct)filtered_backprojection · sart_reconstruct
*Provenance: tomography.py — TOMOGRAPHY Operator-Registry. Diese Notiz wird von tools/opdocs.py md erzeugt (nicht von Hand bearbeiten).*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.