Distributed computing for the reconstruction of multi-terabyte tomographic X-ray imaging datasets

作者：Thorbjørn Erik Køppen Christensen, Frederik Holm Gjørup, Mads R. V. Jørgensen, Adrián Rodríguez-Palomo, Anders Bjorholm Dahl, Innokenty Kantor · 发表于：Journal of Synchrotron Radiation · 年份：2026 · DOI：10.1107/s1600577526004856 · 被引用次数：1 · 研究领域：Advanced X-ray Imaging Techniques、Particle Detector Development and Performance、Medical Imaging Techniques and Applications

Tomographic datasets have continued to grow in size and volume along with camera technology and synchrotron brilliance. These larger datasets require new methods of distributing the reconstruction process on high-performance computing systems. Here we present a program for reconstructing large datasets, allowing the usage of either CPU- or GPU-powered clusters, and show the successful reconstruction of a 24000 pixel-wide dataset. This program is currently in use at the DanMAX beamline at the MAX IV synchrotron and is used as the default reconstruction method for all tomographic experiments at the beamline. Scans reconstructed with the presented pipeline have been published in multiple journals.