Simulation of High-Resolution Magnetic Resonance Images on the IBM Blue Gene/L Supercomputer Using SIMRI

Medical imaging system simulators are tools that provide a means to evaluate system architecture and create artificial image sets that are appropriate for specific applications. We have modified SIMRI, a Bloch equation-based magnetic resonance image simulator, in order to successfully generate high-...

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Detalles Bibliográficos
Autores principales: Baum, K. G., Menezes, G., Helguera, M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2011
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3124258/
https://www.ncbi.nlm.nih.gov/pubmed/21747818
http://dx.doi.org/10.1155/2011/305968
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author Baum, K. G.
Menezes, G.
Helguera, M.
author_facet Baum, K. G.
Menezes, G.
Helguera, M.
author_sort Baum, K. G.
collection PubMed
description Medical imaging system simulators are tools that provide a means to evaluate system architecture and create artificial image sets that are appropriate for specific applications. We have modified SIMRI, a Bloch equation-based magnetic resonance image simulator, in order to successfully generate high-resolution 3D MR images of the Montreal brain phantom using Blue Gene/L systems. Results show that redistribution of the workload allows an anatomically accurate 256(3) voxel spin-echo simulation in less than 5 hours when executed on an 8192-node partition of a Blue Gene/L system.
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spelling pubmed-31242582011-07-11 Simulation of High-Resolution Magnetic Resonance Images on the IBM Blue Gene/L Supercomputer Using SIMRI Baum, K. G. Menezes, G. Helguera, M. Int J Biomed Imaging Research Article Medical imaging system simulators are tools that provide a means to evaluate system architecture and create artificial image sets that are appropriate for specific applications. We have modified SIMRI, a Bloch equation-based magnetic resonance image simulator, in order to successfully generate high-resolution 3D MR images of the Montreal brain phantom using Blue Gene/L systems. Results show that redistribution of the workload allows an anatomically accurate 256(3) voxel spin-echo simulation in less than 5 hours when executed on an 8192-node partition of a Blue Gene/L system. Hindawi Publishing Corporation 2011 2011-04-10 /pmc/articles/PMC3124258/ /pubmed/21747818 http://dx.doi.org/10.1155/2011/305968 Text en Copyright © 2011 K. G. Baum et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Baum, K. G.
Menezes, G.
Helguera, M.
Simulation of High-Resolution Magnetic Resonance Images on the IBM Blue Gene/L Supercomputer Using SIMRI
title Simulation of High-Resolution Magnetic Resonance Images on the IBM Blue Gene/L Supercomputer Using SIMRI
title_full Simulation of High-Resolution Magnetic Resonance Images on the IBM Blue Gene/L Supercomputer Using SIMRI
title_fullStr Simulation of High-Resolution Magnetic Resonance Images on the IBM Blue Gene/L Supercomputer Using SIMRI
title_full_unstemmed Simulation of High-Resolution Magnetic Resonance Images on the IBM Blue Gene/L Supercomputer Using SIMRI
title_short Simulation of High-Resolution Magnetic Resonance Images on the IBM Blue Gene/L Supercomputer Using SIMRI
title_sort simulation of high-resolution magnetic resonance images on the ibm blue gene/l supercomputer using simri
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3124258/
https://www.ncbi.nlm.nih.gov/pubmed/21747818
http://dx.doi.org/10.1155/2011/305968
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