Distributed MLEM: An Iterative Tomographic Image Reconstruction Algorithm for Distributed Memory Architectures

The processing speed for positron emission tomography (PET) image reconstruction has been greatly improved in recent years by simply dividing the workload to multiple processors of a graphics processing unit (GPU). However, if this strategy is generalized to a multi-GPU cluster, the processing speed...

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Vydáno v:	IEEE transactions on medical imaging Ročník 32; číslo 5; s. 957 - 967
Hlavní autoři:	Jingyu Cui, Pratx, G., Bowen Meng, Levin, C. S.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States IEEE 01.05.2013
Témata:	Algorithms Clustering algorithms Compute unified device architecture (CUDA) Computer Graphics Computer Simulation Equations graphics processing unit (GPU) Graphics processing units high performance computing Image Processing, Computer-Assisted - methods Image reconstruction Linear programming list-mode Mathematical model maximum likelihood expectation maximization (MLEM) parallel computing Phantoms, Imaging Positron emission tomography positron emission tomography (PET) image reconstruction Positron-Emission Tomography - methods
ISSN:	0278-0062, 1558-254X, 1558-254X
On-line přístup:	Získat plný text
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