artifact op• 数据种类:sinogram → sinogram
• 调用:import tomography; tomography.beam_hardening_apply(sinogram, high_energy_fraction=0.5, attenuation_ratio=0.4)(或 opstomography.get("beam_hardening_apply"))
把单色正弦图变成多色的 —— 杯状伪影的来源。
> 以下的详细说明为原文 —— 摘要与标题已翻译。
A real X-ray tube emits a spectrum, and low-energy photons are absorbed more,
so the beam that survives a thick path is *harder* (higher mean energy) and
therefore attenuated less per unit length than the beam that survives a thin
one. The line integral stops being linear in path length, and the
reconstruction of a uniform object comes back with a depressed centre: the
cupping artefact.
The two-spectrum model used here is the smallest one that is physics and not a
curve::
I/I0 = (1-w) exp(-p) + w exp(-k p)
p_meas = -ln(I/I0)
with *w* the fraction of the beam at the high energy and *k < 1* its relative
attenuation. It is exact at `p = 0`, concave everywhere, and monotone — so
it is invertible, which is what :func:beam_hardening_correct inverts.
Measured on a uniform disc (radius 60 px in 256 px, density 1/60 so the peak
line integral is 2.0) at `w = 0.5, k = 0.4`: the FBP reconstruction's
centre-to-rim ratio drops to 0.9312, against 0.9981 before hardening,
and :func:beam_hardening_correct returns it to 0.9981 — the clean value
in all four digits. (The clean ratio is 0.9981 rather than exactly 1 because
of the detector sampling discussed in :func:filtered_backprojection. The
cupping is the 6.7-point drop, not the 0.2-point one.)
:param sinogram: `(n_angles, n_detectors)` monochromatic line integrals,
which must be `>= 0`.
:param high_energy_fraction: *w*, in `[0, 1)`. 0 is a monochromatic beam and
the operator is then the identity.
:param attenuation_ratio: *k*, in `(0, 1)`. 1 is again monochromatic.
:returns: `(n_angles, n_detectors)` float64 hardened sinogram.
:raises ValueError: on a negative sinogram (a negative line integral is not a
measurement this model can harden — the logarithm of the transmitted
intensity has already gone wrong upstream), or parameters outside range.
• 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。
• ct_reconstruction — py -3.11 examples/ct_reconstruction.py
sinogram 作为输入)backproject_sinogram · filtered_backprojection · sart_reconstruct · beam_hardening_correct · ring_artifact_apply · ring_artifact_remove · metal_trace_interpolate · sinogram_center_of_rotation
artifact)beam_hardening_correct · ring_artifact_apply · ring_artifact_remove · metal_trace_interpolate
*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.