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.
Signal and Image Processing Institute, University of Southern California, Los Angeles, CA 90089, USA.
D W
DW
Shattuck
J
J
Rapela
E
E
Asma
A
A
Chatzioannou
J
J
Qi
R M
RM
Leahy
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*