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Proceedings Paper

Evolution of computer technology for fast cone-beam backprojection
Author(s): Iain Goddard; Ari Berman; Olivier Bockenbach; Frank Lauginiger; Sebastian Schuberth; Scott Thieret
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Paper Abstract

Cone-beam reconstruction (CBR) is useful for producing volume images from projections in many fields including medicine, biomedical research, baggage scanning, paleontology, and nondestructive manufacturing inspection. CBR converts a set of two-dimensional (2-D) projections into a three-dimensional (3-D) image of the projected object. The most common algorithm used for CBR is referred to as the Feldkamp-Davis-Kress (FDK) algorithm; this involves filtering and cone-beam backprojection steps for each projection of the set. Over the past decade we have observed or studied FDK on platforms based on many different processor types, both single-processor and parallel-multiprocessor architectures. In this paper we review the different platforms, in terms of design considerations that include speed, scalability, ease of programming, and cost. In the past few years, the availability of programmable special processors (i.e. graphical processing units [GPUs] and Cell Broadband Engine [BE]), has resulted in platforms that meet all the desirable considerations simultaneously.

Paper Details

Date Published: 28 February 2007
PDF: 8 pages
Proc. SPIE 6498, Computational Imaging V, 64980R (28 February 2007); doi: 10.1117/12.722160
Show Author Affiliations
Iain Goddard, Mercury Computer Systems, Inc. (United States)
Ari Berman, Mercury Computer Systems, Inc. (United States)
Olivier Bockenbach, Mercury Computer Systems GmbH (Germany)
Frank Lauginiger, Mercury Computer Systems, Inc. (United States)
Sebastian Schuberth, Mercury Computer Systems GmbH (Germany)
Scott Thieret, Mercury Computer Systems, Inc. (United States)


Published in SPIE Proceedings Vol. 6498:
Computational Imaging V
Charles A. Bouman; Eric L. Miller; Ilya Pollak, Editor(s)

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