volume op• 데이터 종류: sinostack → voxel
• 호출: import fullseye as fs; fs.ledger.fbp_volume(stack, angles_deg=None, size=None, filter_name='ramp', cutoff=1.0, span_deg=None)(구현을 직접 호출하려면 import tomography; tomography.fbp_volume(stack, angles_deg=None, size=None, filter_name='ramp', cutoff=1.0, span_deg=None), 원장에서 가져오려면 opstomography.get("fbp_volume"))
(Z, A, D) 스택의 모든 사이노그램을 재구성 -> (Z, S, S) 볼륨.
> 아래 상세 설명은 원문입니다 —— 요약과 제목은 번역되어 있습니다.
The inverse of 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 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
MAX_STACK_ELEMENTS.
• 샘플 데이터 카탈로그(DL URL / 라이선스) —— 2-D 는 skimage.data(BSD/public)+ 합성, 3-D 는 실데이터 소스(Stanford/PDS 등)의 DL URL.
• 연산자의 내력·참고문헌 —— 이 연산자 족의 바탕이 된 연구/기법의 출처.
• 알고리즘의 정전(저자·연도)과 용도는 위의 패밀리 사용 가이드에 적혀 있습니다.
• poc_battery_ct_degradation — py -3.11 examples/poc_battery_ct_degradation.py
• tomography_reconstruct — py -3.11 examples/tomography_reconstruct.py
voxel 를 입력으로 받는 것)volume)*Provenance: tomography.py — TOMOGRAPHY 연산자 레지스트리. 이 op 노트는 tools/opdocs.py md 가 자동 생성합니다(직접 편집하지 마세요).*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.