volume op• 資料種類:sinostack → voxel
• 呼叫:import tomography; tomography.fbp_volume(stack, angles_deg=None, size=None, filter_name='ramp', cutoff=1.0, span_deg=None)(或 opstomography.get("fbp_volume"))
重建 `(Z, A, D) 堆疊的全部正弦圖 -> (Z, S, S)` 體。
> 以下的詳細說明為原文 —— 摘要與標題已翻譯。
The inverse of :func: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 :data: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
:data:MAX_STACK_ELEMENTS.
• 範例資料目錄(下載 URL / 授權) —— 2-D 用 skimage.data(BSD/公有領域)加合成圖,3-D 給出真實資料源(Stanford/PDS 等)的下載 URL。
• 運算子來歷與參考文獻 —— 該運算子族所依據的研究/方法出處。
• 演算法的正典(作者・年份)與用途見上面的族使用指南。
• tomography_reconstruct — py -3.11 examples/tomography_reconstruct.py
voxel 作為輸入)volume)*Provenance: tomography.py — TOMOGRAPHY 運算子登記表。本條目由 tools/opdocs.py md 自動產生(請勿手動編輯)。*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.