ArticlePhotoacoustics2026
Limited-view signal recovery with frequency-aware denoising diffusion and geometry-integrated masked autoencoders for X-ray acoustic computed tomography.
Article in Photoacoustics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
X-ray acoustic computed tomography (XACT) suffers from low SNR and limited-view detection when only a limited number of detector channels are available. To address these limitations, we introduce a two-stage limited-view signal recovery framework that integrates frequency-aware denoising (FAD) diffusion with geometry-integrated masked autoencoders (GIMAE). FAD jointly models temporal and spectral noise characteristics to restore clean RF measurements, while GIMAE leverages detector-layout-guided masking to infer missing angular channels and reconstruct full-view RF sinograms from limited-view inputs. The recovered signals are subsequently used for XACT image reconstruction via time-reversal algorithm. Simulation and experimental evaluations using multiple X-ray irradiated patterns demonstrate substantial improvements in reconstruction fidelity, with the proposed method boosting SSIM by 31.1% in simulation and by 26.4% in experiments-closely matching full-view references and outperforming limited-view acquisitions. This framework provides an effective and practical solution for high-quality limited-view XACT imaging under realistic noise-dominated conditions.
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