radon_transform — TOMOGRAPHY forward op

数据种类:image2dsinogram

调用:import tomography; tomography.radon_transform(image, angles_deg=None, n_detectors=None, oversample=1)(或 opstomography.get("radon_transform"))

用法

平行束正向投影:输入一张切片,输出正弦图

> 以下的详细说明为原文 —— 摘要与标题已翻译。

Rows of the result are projection angles and columns are detector bins. The

convention is fixed here and never negotiated again; every other operator in

this module reads it the same way, and a transposed sinogram is structurally

indistinguishable from a valid one (see :mod:opstomography for the measured

consequences of not giving it its own sort).

The ray at detector bin `j and angle theta` is the line

`x cos(theta) + y sin(theta) = j - (n_det-1)/2, with x` the column

offset from the image centre and `y the row offset — so +y` runs *down*

the array, matching the rest of Fullseye's image indexing rather than a

textbook's upward `y`. The transform is the same either way (the sinogram is

mirrored in the angle axis), but only one of the two agrees with

:func:ellipse_phantom, and the tests hold them together.

Accuracy against the closed form (a disc of radius 60 px in a 256-px grid,

180 views), measured in `tests/test_tomography.py`: interior RMS error

0.073 % of the peak line integral, whole-sinogram RMS 0.402 % — the

difference between the two being the partial-volume edge, where the phantom's

own anti-aliased boundary is what is being sampled.

:param image: 2-D slice, at least 2x2.

:param angles_deg: 1-D view angles in degrees; `None` ->

`linspace(0, 180, 180, endpoint=False)`.

:param n_detectors: bins; `None` -> odd count covering the diagonal.

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

because 4 measures no better (0.073 % against 0.070 %).

:returns: `(n_angles, n_detectors)` float64 sinogram.

:raises ValueError: on non-finite input, an empty angle list, a detector count

under 4, or a sinogram over :data:MAX_SINOGRAM_ELEMENTS.

参考(示例数据・文献)

• 示例数据目录(下载 URL / 许可证) —— 2-D 用 skimage.data(BSD/公有领域)加合成图,3-D 给出真实数据源(Stanford/PDS 等)的下载 URL。

• 算子来历与参考文献 —— 该算子族所依据的研究/方法出处。

• 算法的正典(作者・年份)与用途见上面的族使用指南

可运行的示例(实际调用该算子并已验证的样例)

ct_reconstructionpy -3.11 examples/ct_reconstruction.py

poc_ct_fidelitypy -3.11 examples/poc_ct_fidelity.py

类型可衔接的下一个算子(可接受 sinogram 作为输入)

backproject_sinogram · filtered_backprojection · sart_reconstruct · beam_hardening_apply · beam_hardening_correct · ring_artifact_apply · ring_artifact_remove · metal_trace_interpolate

同类别(forward)

ellipse_phantom · ellipse_sinogram


*Provenance: tomography.py — TOMOGRAPHY 算子登记表。本条目由 tools/opdocs.py md 自动生成(请勿手工编辑)。*

© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.