KIT, Eggenstein-Leopoldshafen, Germany
The ultrafast tomography system built up at the ANKA Synchrotron Light Source at KIT makes possible the study of moving biological objects with high temporal and spatial resolution. The resulting amounts of data are challenging in terms of reconstruction algorithm, automatic processing software and computing. The standard operated reconstruction method yields limited quality of reconstruction images due to much fewer projections obtained from the ultrafast tomography. Thus an algebraic reconstruction technique based on a more precise forward transform model and compressive sampling theory is investigated. It results in high quality images, but is computationally very intensive. For near real–time reconstruction, an automatic workflow is started after data ingest, processing a full volume data in parallel using the Hadoop cluster at the Large Scale Data Facility (LSDF) to reduce the computing time greatly. It will not only provide better reconstruction results but also higher data analysis efficiency to users. This study contributes to the construction of the fast tomography system at ANKA and will enhance its application in the fields of chemistry, biology and new materials.
