volume op• Data kinds: sinostack → voxel
• Call: import fullseye as fs; fs.ledger.fbp_volume(stack, angles_deg=None, size=None, filter_name='ramp', cutoff=1.0, span_deg=None) (implementation को सीधे call करना हो तो import tomography; tomography.fbp_volume(stack, angles_deg=None, size=None, filter_name='ramp', cutoff=1.0, span_deg=None), registry से लेना हो तो opstomography.get("fbp_volume"))
(Z, A, D) stack के हर sinogram को reconstruct करता है -> (Z, S, S) volume।
> नीचे का विस्तृत विवरण मूल text में है — सारांश और headings का अनुवाद हो चुका है।
The inverse of radon_volume, slice by slice. The result is a plain volume and every existing 3-D operator applies to it directly — windowing, labelling, boundary extraction, marching cubes — which is the point of returning voxel rather than something tomography-specific.
One number worth carrying into that pipeline: the reconstructed slice grid is isotropic in-plane only. The slice spacing is whatever the scan used, and it is usually coarser; the volume itself does not carry it. Passing this volume to a measurement without its spacing is the most common way a tomographic volume becomes a wrong number — see examples/tomography_reconstruct.py, which measures the size of the error.
:param stack: (Z, n_angles, n_detectors). :param angles_deg: view angles; None -> uniform [0, 180). :param size: output side per slice; None -> the inscribed square. :param filter_name: one of FILTERS. :param cutoff: fraction of Nyquist to keep. :param span_deg: angular range for the d(theta) weight. :returns: (Z, size, size) float64 volume. :raises ValueError: on a non-3-D stack, or an output over
MAX_STACK_ELEMENTS.
• 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।
• poc_battery_ct_degradation — py -3.11 examples/poc_battery_ct_degradation.py
• tomography_reconstruct — py -3.11 examples/tomography_reconstruct.py
voxel को input के रूप में लेते हैं)volume)*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.