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dc.contributor.authorBak, Andrew
dc.contributor.authorHornak, Joseph
dc.contributor.authorSchaller, Nan
dc.date.accessioned2005-01-28T18:24:47Z
dc.date.available2005-01-28T18:24:47Zen_US
dc.date.issued2005
dc.identifier.urihttp://hdl.handle.net/1850/423
dc.description.abstractMRI relaxometry may provide more diagnostic utility than conventional MRI because it measures molecular mobility, which changes with disease state. Processing relaxometry data requires applying an inverse Laplace transform (ILT). Applying ILT to typical MRI data would take months to complete using a conventional computer. This presentation focuses on parallelization of an ILT program. Results will be discussed along with the graphical analysis tool built to help process those results.
dc.format.extent43694 bytesen_US
dc.format.mimetypeapplication/pdfen_US
dc.language.isoen_US
dc.subjectMagnetic resonance imagingen_US
dc.subjectMRI relaxometryen_US
dc.subjectParallel programmingen_US
dc.titleFrom impractical to practical: solving an MRI problem using parallelism
dc.typeOther


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