Evolution of computer technology for fast cone-beam backprojection

Iain Goddard; Ari Berman; Olivier Bockenbach; Frank Lauginiger; Sebastian Schuberth; Scott Thieret

doi:10.1117/12.722160

28 February 2007 Evolution of computer technology for fast cone beam backprojection

Iain Goddard, Ari Berman, Olivier Bockenbach, Frank Lauginiger, Sebastian Schuberth, Scott Thieret

Proceedings Volume 6498, Computational Imaging V; 64980R (2007) https://doi.org/10.1117/12.722160
Event: Electronic Imaging 2007, 2007, San Jose, CA, United States

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.

Citation Download Citation

Iain Goddard, Ari Berman, Olivier Bockenbach, Frank Lauginiger, Sebastian Schuberth, and Scott Thieret "Evolution of computer technology for fast cone beam backprojection", Proc. SPIE 6498, Computational Imaging V, 64980R (28 February 2007); https://doi.org/10.1117/12.722160

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