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High‐performance scalable parallel platform for volume reconstruction of PET data
Author(s) -
Egger M. L.,
Scheurer A. Herrmann,
Joseph C.,
Morel C.
Publication year - 1998
Publication title -
international journal of imaging systems and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.359
H-Index - 47
eISSN - 1098-1098
pISSN - 0899-9457
DOI - 10.1002/(sici)1098-1098(1998)9:6<455::aid-ima7>3.0.co;2-v
Subject(s) - computer science , positron emission tomography , scalability , tomography , set (abstract data type) , obstacle , data set , volume (thermodynamics) , parallel computing , computer hardware , computational science , artificial intelligence , nuclear medicine , operating system , physics , programming language , optics , medicine , quantum mechanics , law , political science
Long reconstruction times in three‐dimensional (3D) positron emission tomography (PET) have long remained an obstacle to its routine clinical use. This article presents an experimental study of various algorithms on a compact parallel platform consisting of five hybrid nodes, each equipped with a Transputer TM and an Alpha processor. Resulting execution times for the data set of a 16‐ring PET tomograph (256 sinograms of 96 views by 128 radial samples) lie under 2 min, thus eliminating the time factor in practice and making 3D PET more generally accessible. © 1998 John Wiley & Sons, Inc. Int J Imaging Syst Technol 9: 455–462, 1998