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- aggregation classification "C3".
- aggregation creator person.
- aggregation creator person.
- aggregation creator person.
- aggregation creator person.
- aggregation date "2010".
- aggregation format "application/pdf".
- aggregation hasFormat 1105930.bibtex.
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- aggregation hasFormat 1105930.doc.
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- aggregation language "eng".
- aggregation publisher "Argonne National Laboratory".
- aggregation rights "I have transferred the copyright for this publication to the publisher".
- aggregation subject "Physics and Astronomy".
- aggregation title "Advanced tomography reconstruction algorithms on the graphical processing unit".
- aggregation abstract "For many years the FDK algorithm has been the standard algorithm for the reconstruction of projection data acquired in cone beam geometry, which is the standard geometry in high resolution X‐ray tomography. Iterative reconstruction algorithms such as SART [1] can however provide superior image quality. Additionally, artifacts associated with the cone beam geometry can be overcome by using alternative scanning trajectories such as the helical cone beam geometry, of which the data can for instance be reconstructed using the Katsevich algorithm [2]. However, the advanced algorithms for iterative reconstruction and helical cone beam reconstruction are far more complex than the FDK algorithm. The combination of this computational complexity and the large datasets encountered in high resolution X‐ray tomography has prevented their application in this field. The recent breakthrough of ‘manycore’ computing devices such as the Graphical Processing Units now allows the practical use of both helical cone beam geometry and iterative reconstruction methods in high resolution X‐ray tomography. Here we present the implementation of these algorithms on the NVDIA CUDA architecture in the Octopus reconstruction package [3]. The performance of the algorithms is illustrated by means of timing results for typical data volumes. Additionally, the advantages with respect to image quality and the reduction of cone artifacts are illustrated by presenting reconstruction results for several applications (e.g. figures 1 and 2).".
- aggregation authorList BK274668.
- aggregation endPage "226".
- aggregation startPage "226".
- aggregation aggregates 1105936.
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