From impractical to practical: solving an MRI problem using parallelism
Abstract
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.