volume op• データ種: sinostack → voxel
• 呼び出し: import tomography; tomography.fbp_volume(stack, angles_deg=None, size=None, filter_name='ramp', cutoff=1.0, span_deg=None) (または opstomography.get("fbp_volume"))
`(Z, A, D) スタックの全サイノグラムを再構成 → (Z, S, S)` ボリューム。
> 以下の詳細説明は原文のままです —— 要約と見出しは訳出済み。
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.
• サンプルデータ カタログ(DL URL / ライセンス) — 2-D は skimage.data(BSD/public)+ 合成、3-D は実データ源(Stanford/PDS 等)の DL URL。
• 演算子の来歴・参考文献 — この op 族の元になった研究/手法の出典。
• アルゴリズムの正典(著者・年)と用途は上記ファミリ使い方ガイドに記載。
• tomography_reconstruct — py -3.11 examples/tomography_reconstruct.py
voxel を入力に取れる)volume)*Provenance: tomography.py — TOMOGRAPHY operator registry. この per-op ノートは tools/opdocs.py md が自動生成(手編集しない)。*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.