Internet2-based 3D PET image reconstruction using a PC cluster.
We describe an approach to fast iterative reconstruction from fully three-dimensional (3D) PET data using a network of PentiumIII PCs configured as a Beowulf cluster. To facilitate the use of this system, we have developed a browser-based interface using Java. The system compresses PET data on the user's machine, sends these data over a network, and instructs the PC cluster to reconstruct the image. The cluster implements a parallelized version of our preconditioned conjugate gradient method for fully 3D MAP image reconstruction. We report on the speed-up factors using the Beowulf approach and the impacts of communication latencies in the local cluster network and the network connection between the user's machine and our PC cluster.
Shattuck
D W
DW
Signal and Image Processing Institute, University of Southern California, Los Angeles, CA 90089, USA.
Rapela
J
J
Asma
E
E
Chatzioannou
A
A
Qi
J
J
Leahy
R M
RM
D000465:Algorithms; D000818:Animals; D001921:Brain / Q000000981:diagnostic imaging; D003198:Computer Simulation; D006801:Humans; D019146:Hypermedia; D007089:Image Enhancement / Q000295:instrumentation / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000295:instrumentation / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods; D020407:Internet; D008122:Local Area Networks; D008838:Microcomputers; D011786:Quality Control; D014055:Tomography, Emission-Computed / Q000295:instrumentation / Q000379:methods*