High-throughput data acquisition and processing for real-time x-ray imaging

Matthias Vogelgesang; Lorenzo Rota; Luis Eduardo Ardila Perez; Michele Caselle; Suren Chilingaryan; Andreas Kopmann

doi:10.1117/12.2237611

3 October 2016 High-throughput data acquisition and processing for real-time x-ray imaging

Matthias Vogelgesang, Lorenzo Rota, Luis Eduardo Ardila Perez, Michele Caselle, Suren Chilingaryan, Andreas Kopmann

Proceedings Volume 9967, Developments in X-Ray Tomography X; 996715 (2016) https://doi.org/10.1117/12.2237611
Event: SPIE Optical Engineering + Applications, 2016, San Diego, California, United States

Abstract

With ever-increasing data rates due to stronger light sources and better detectors, X-ray imaging experiments conducted at synchrotron beamlines face bandwidth and processing limitations that inhibit efficient workflows and prevent real-time operations. We propose an experiment platform comprised of programmable hardware and optimized software to lift these limitations and make beamline setups future-proof. The hardware consists of an FPGA-based data acquisition system with custom logic for data pre-processing and a PCIe data connection for transmission of currently up to 6.6 GB/s. Moreover, the accompanying firmware supports pushing data directly into GPU memory using AMD’s DirectGMA technology without crossing system memory first. The GPUs are used to pre-process projection data and reconstruct final volumetric data with OpenCL faster than possible with CPUs alone. Besides, more efficient use of resources this enables a real-time preview of a reconstruction for early quality assessment of both experiment setup and the investigated sample. The entire system is designed in a modular way and allows swapping all components, e.g. replacing our custom FPGA camera with a commercial system but keep reconstructing data with GPUs. Moreover, every component is accessible using a low-level C library or using a high-level Python interface in order to integrate these components in any legacy environment.

Conference Presentation

Citation Download Citation

Matthias Vogelgesang, Lorenzo Rota, Luis Eduardo Ardila Perez, Michele Caselle, Suren Chilingaryan, and Andreas Kopmann "High-throughput data acquisition and processing for real-time x-ray imaging", Proc. SPIE 9967, Developments in X-Ray Tomography X, 996715 (3 October 2016); https://doi.org/10.1117/12.2237611

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