layout op• Data kinds: कोई नहीं → table (केवल arguments से तय होने वाला op — यह कोई image या data input नहीं लेता)
• Call: import fullseye as fs; fs.ledger.sinogram_design(n_angles=180, n_detectors=None, size=256, detector_pitch_mm=1.0, span_deg=180.0) (implementation को सीधे call करना हो तो import tomography; tomography.sinogram_design(n_angles=180, n_detectors=None, size=256, detector_pitch_mm=1.0, span_deg=180.0), registry से लेना हो तो opstomography.get("sinogram_design"))
scan geometry क्या resolve कर सकती है और क्या नहीं — कुछ भी बनाने से पहले।
> नीचे का विस्तृत विवरण मूल text में है — सारांश और headings का अनुवाद हो चुका है।
The axial counterpart of visiondesign.imaging_budget and of interferometry.csi_design: no data goes in, only the geometry, and what comes out are the limits that the geometry has already decided.
Returns a dict with, among others:
• resolvable_feature_mm — 2 * pitch: two detector samples per cycle is the Nyquist floor, and no reconstruction algorithm recovers a detail finer than the detector saw.
• views_for_full_sampling — ceil(pi/2 * n_detectors), the classical matching of angular to radial sampling (VIEWS_PER_DETECTOR).
• undersampling_factor — that number over n_angles. 1.0 or below is a fully sampled scan. Above it you are doing sparse-view CT on purpose and the reconstruction algorithm has to make up the difference; the measured cost is in this module's docstring and in the test suite's break table.
• streak_free_radius_px — 1 / d(theta) with d(theta) in radians: the radius, in pixels, at which the *azimuthal* sample spacing between neighbouring views (r * d(theta)) grows past one sample. Outside it, filtered back-projection lays down visible streaks. For 180 views over 180 degrees this is 57.3 px, i.e. a 256-px phantom is already streaking at its corners. It does not depend on the detector pitch: the radius is quoted in the same unit the sample spacing is, so the pitch cancels (pitch / d(theta) is the same radius in millimetres, which is what an earlier version returned under the pixel label — 28.6 "px" at 0.5 mm, 114.6 at 2 mm, for a geometry whose streak radius had not changed).
• sinogram_bytes / elements — what you are about to allocate.
• verdict — "fully sampled" / "sparse view".
:param n_angles: planned number of views. :param n_detectors: planned detector bins; None -> enough to cover the
diagonal of a *size* x *size* image.
:param size: reconstruction grid side in pixels. :param detector_pitch_mm: physical detector bin spacing. :param span_deg: angular range of the scan. :returns: dict of floats / ints / str. :raises ValueError: on non-int counts, non-positive pitch or span.
• Sample data catalog (DL URL / license) — 2-D के लिए skimage.data (BSD/public) + synthetic, 3-D के लिए real data sources (Stanford/PDS आदि) के DL URL।
• Operators का स्रोत और संदर्भ — इस op family के मूल research/methods के स्रोत।
• Algorithm का मानक स्रोत (लेखक, वर्ष) और उपयोग ऊपर की family usage guide में दिए गए हैं।
• ct_reconstruction — py -3.11 examples/ct_reconstruction.py
• tomography_reconstruct — py -3.11 examples/tomography_reconstruct.py
table को input के रूप में लेते हैं)—
layout)*Provenance: tomography.py — TOMOGRAPHY operator registry. यह per-op note tools/opdocs.py md से अपने-आप generate होता है (हाथ से edit न करें)।*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.