An accelerated framework for high-resolution X-ray holographic reconstruction

X-ray propagation-based phase contrast imaging, a well established imaging technology in synchrotron radiation facilities, enables high-resolution 3D structural reconstruction. Nevertheless, the phase retrieval process required to restore quantitative phase information from holograms remains a significant challenge. Existing software solutions face problems such as performance bottlenecks and limitations in hardware support. Here, we describe a high-performance software named HiHolo based on the CUDA-MPI architecture for the holographic regime, and propose three improved iterative phase retrieval algorithms, providing an efficient framework for achieving high-quality holographic reconstruction. Experimental results demonstrate that HiHolo achieves 24%-37% performance improvement compared with current mainstream software and exhibits near-linear scalability in multi-GPU systems. The alternating projections with probe algorithm effectively reduces artifacts in traditional empty beam correction by simultaneously optimizing both object and probe wavefields; the extrapolation iteration method enhances the spatial resolution of limited field of view through the computational technique; furthermore, the parallel iterative reprojection optimizes the efficiency of 3D reconstruction, achieving a speedup of about 6-14 times compared with the serial version.

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Publication Details

Journal
Journal of Synchrotron Radiation
Published
2026-01-29
DOI
https://doi.org/10.1107/s1600577526000275
Primary Topic
Advanced X-ray Imaging Techniques
Type
article
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article

An accelerated framework for high-resolution X-ray holographic reconstruction

Ge Chang, Yu Hu, Bin Ji, Jiarui Hu et al.
Journal of Synchrotron Radiation
Advanced X-ray Imaging Techniques
article

An accelerated framework for high-resolution X-ray holographic reconstruction

Ge Chang, Yu Hu, Bin Ji, Jiarui Hu, Lei Wang, Jingyan Shi
article en

Abstract

X-ray propagation-based phase contrast imaging, a well established imaging technology in synchrotron radiation facilities, enables high-resolution 3D structural reconstruction. Nevertheless, the phase retrieval process required to restore quantitative phase information from holograms remains a significant challenge. Existing software solutions face problems such as performance bottlenecks and limitations in hardware support. Here, we describe a high-performance software named HiHolo based on the CUDA-MPI architecture for the holographic regime, and propose three improved iterative phase retrieval algorithms, providing an efficient framework for achieving high-quality holographic reconstruction. Experimental results demonstrate that HiHolo achieves 24%-37% performance improvement compared with current mainstream software and exhibits near-linear scalability in multi-GPU systems. The alternating projections with probe algorithm effectively reduces artifacts in traditional empty beam correction by simultaneously optimizing both object and probe wavefields; the extrapolation iteration method enhances the spatial resolution of limited field of view through the computational technique; furthermore, the parallel iterative reprojection optimizes the efficiency of 3D reconstruction, achieving a speedup of about 6-14 times compared with the serial version.

Journal of Synchrotron RadiationVol. 33(2)
Institute of High Energy Physics (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 51%
Advanced X-ray Imaging Techniques
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