BeeHive: cluster reconstruction of 3-D PET data in a Windows NT network using FORE

Author

Vollmar, St ; Wienhard, K. ; Lercher, M. ; Knöss, C. ; Michel, C. ; Treffert, J. ; Schmand, M. ; Casey, M.E. ; Newport, D. ; Luk, P. ; Bao, J. ; Nutt, R. ; Heiss, W.D.

Author_Institution

Max-Planck-Inst. fur Neurologische Forschung, Koln, Germany

Volume

2

fYear

2000

fDate

2000

Abstract

Iterative reconstruction techniques are usually too time consuming on most single processor machines that are affordable. This is especially true for the HRRT (High Resolution Research Tomograph) which produces huge sinogram data in order to take full advantage of its enhanced resolution. The use of Fourier Rebinning (FORE) in a preprocessing step is the basis for a simple cluster computing approach. The authors were able to scale down the reconstruction time with implementations utilizing RPC and Syngo mechanics, resp. on Windows NT networks

Keywords

image reconstruction; image resolution; medical image processing; positron emission tomography; software packages; workstation clusters; 3-D PET data; BeeHive; FORE; Fourier Rebinning; High Resolution Research Tomograph; RPC; Syngo mechanics; Windows NT network; cluster reconstruction; enhanced resolution; medical diagnostic imaging; nuclear medicine; Communication standards; Engines; Hardware; Intelligent networks; Laboratories; Packaging; Parallel processing; Positron emission tomography; Sun; Workstations;

fLanguage

English

Publisher

ieee

Conference_Titel

Nuclear Science Symposium Conference Record, 2000 IEEE

Conference_Location

Lyon

ISSN

1082-3654

Print_ISBN

0-7803-6503-8

Type

conf

DOI

10.1109/NSSMIC.2000.950104

Filename

950104