Direct volumetric reconstruction for highly compressive x-ray fluorescence ghost tomography

Fuente: arXiv
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Bibliographic Details
Main Authors: Ben-Yehuda, A., Rack, A., Shwartz, S., Viganò, N.
Format: Preprint
Published: 2026
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author Ben-Yehuda, A.
Rack, A.
Shwartz, S.
Viganò, N.
author_facet Ben-Yehuda, A.
Rack, A.
Shwartz, S.
Viganò, N.
contents X-ray fluorescence (XRF) enables element-specific, nondestructive imaging, but conventional raster scanning scales poorly with sample size, particularly for tomography, because measurements must be repeated at every projection angle and spatial position. We demonstrate direct volumetric XRF ghost tomography, which replaces point-by-point acquisition with compressive structured illumination and multiplexed fluorescence detection. Rather than reconstructing projections at each angle and then applying standard tomographic reconstruction, we recover the three-dimensional elemental distribution by solving a single inverse problem that jointly incorporates measurements from all angles. For a volume of 2.8 million voxels, we reconstruct the elemental distribution from only 400 measurements per angle, achieving a 43X reduction relative to raster scanning while maintaining spatial resolution and contrast. By exploiting sparsity directly in the volumetric domain, this approach enables scalable, multi-element XRF tomography of large and heterogeneous samples under stringent acquisition time constraints.
format Preprint
id arxiv_https___arxiv_org_abs_2604_10671
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Direct volumetric reconstruction for highly compressive x-ray fluorescence ghost tomography
Ben-Yehuda, A.
Rack, A.
Shwartz, S.
Viganò, N.
Optics
X-ray fluorescence (XRF) enables element-specific, nondestructive imaging, but conventional raster scanning scales poorly with sample size, particularly for tomography, because measurements must be repeated at every projection angle and spatial position. We demonstrate direct volumetric XRF ghost tomography, which replaces point-by-point acquisition with compressive structured illumination and multiplexed fluorescence detection. Rather than reconstructing projections at each angle and then applying standard tomographic reconstruction, we recover the three-dimensional elemental distribution by solving a single inverse problem that jointly incorporates measurements from all angles. For a volume of 2.8 million voxels, we reconstruct the elemental distribution from only 400 measurements per angle, achieving a 43X reduction relative to raster scanning while maintaining spatial resolution and contrast. By exploiting sparsity directly in the volumetric domain, this approach enables scalable, multi-element XRF tomography of large and heterogeneous samples under stringent acquisition time constraints.
title Direct volumetric reconstruction for highly compressive x-ray fluorescence ghost tomography
topic Optics
url https://arxiv.org/abs/2604.10671