Description

MRI 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.

Date of creation, presentation, or exhibit

1-21-2005

Comments

Presented at the Conference on Computing and Information Sciences at RIT, January 21, 2005

Document Type

Conference Paper

Department, Program, or Center

Computer Science (GCCIS)

College

Golisano College of Computing and Information Sciences

Campus

RIT – Main Campus

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