radon_volume — TOMOGRAPHY `volume` op

• 資料種類:voxel → sinostack

• 呼叫:import tomography; tomography.radon_volume(volume, angles_deg=None, n_detectors=None, oversample=1)(或 opstomography.get("radon_volume"))

投影 `(Z, H, W) 體的每一張切片 -> (Z, A, D)` 堆疊。

> 以下的詳細說明為原文 —— 摘要與標題已翻譯。

Parallel-beam geometry with the rotation axis along `Z`, which is the case

where the 3-D problem really is a stack of independent 2-D ones — each slice

projects into its own sinogram and nothing crosses between them. (A cone beam

does not have this property and is not implemented; saying so is cheaper than

a wrong `FDK`.)

The output's axis order is `(slice, angle, detector) so that stack[k]`

is a sinogram in this module's own convention and every 2-D operator here

applies to it unchanged.

:param volume: `(Z, H, W) float volume, Z >= 1`.

:param angles_deg: view angles; `None -> uniform [0, 180)`, 180 views.

:param n_detectors: bins; `None` -> covers the in-plane diagonal.

:param oversample: ray samples per pixel, `1 .. 8`.

:returns: `(Z, n_angles, n_detectors)` float64 stack.

:raises ValueError: on a non-3-D input or a stack 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

*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)。*

radon_volume — TOMOGRAPHY volume op