spectral_xray op• Data kinds: images → images
• Call: import fullseye as fs; fs.ledger.xray_channel_projection(thickness, materials_list=('MUSCLE_ICRU44',), channels=None, photons_per_pixel: 'float' = 100000.0, noise: 'bool' = True, seed: 'int' = 0) -> 'np.ndarray' (to call the implementation directly, import dualxray; dualxray.xray_channel_projection(thickness, materials_list=('MUSCLE_ICRU44',), channels=None, photons_per_pixel: 'float' = 100000.0, noise: 'bool' = True, seed: 'int' = 0) -> 'np.ndarray'; from the registry, opstomography.get("xray_channel_projection"))
• Return value through the ledger: fullseye.ledger.xray_channel_projection(...) returns only the declared out type images (the underlying function also returns auxiliary values). When you need what was dropped, use fullseye.ledger.xray_channel_projection.raw(...) or call dualxray.xray_channel_projection directly.
Thickness map per material → an image of the signal in each channel (C, H, W).
> The detailed description below is the original text — the summary and the headings are translated.
thickness: (M, H, W)、単位 cm(materials_list の材料ごとに 1 枚、重なりは足し算 = 細いビームの Beer–Lambert)。photons_per_pixel: 1 画素に入射する光子の数(全エネルギー、検出器の前)。計数(counting)のチャネルは平均 n₀ Σ W e^{−μt} の Poisson 標本(photoncount.photon_sample、チャネルごとに seed から決まる別の乱数列)。積分型(integrating)は平均と分散 Σ W E² e^{−μt} のガウス(複合 Poisson の近似)。noise=False は平均そのもの。空き(厚み 0)の平均は channels から決まるので、分解の op は同じ channels と photons_per_pixel を受けて自分で計算する(白の撮影を別に渡すこともできる)。
• Sample-data catalog (download URLs / licences) — 2-D uses skimage.data (BSD/public domain) plus synthetic images; 3-D lists download URLs for real data sources (Stanford, PDS, …).
• Operator provenance and references — the sources of the research/methods this op family came from.
• The canonical algorithm (author, year) and its uses are named in the family usage guide above.
• poc_dual_energy_xray — py -3.11 examples/poc_dual_energy_xray.py
images as input)basis_material_decompose · r_value_map · effective_z_map
spectral_xray)material_xray_table · material_xray_attenuation · material_xray_constants · material_effective_z · xray_tube_spectrum · xray_beam_quality · photon_counting_channels · dual_kvp_channels
*Provenance: dualxray.py — TOMOGRAPHY operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.