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Abstract #3418

Robust Estimation of T1 and T2 Parameters from Complex Datasets

Umesh Rudrapatna1, Annette van der Toorn1, Rick Dijkhuizen1

1Biomedical MR Imaging and Spectroscopy Group, Image Sciences Institute, University Medical Center Utrecht, Utrecht, Netherlands

 

Keywords

acceptance account achieved acquisition additional affect ambiguity array assumes assumption assured asymptotic axis besides better biomedical blue brain brains built choice chosen common commonly complex complicated constraints correcting corrections cross decoupling density designed deviation deviations diffusion directly discuss echoes efficacy employed equally equivalently estimating estimation estimations even fact field find fits fitting free gives impart improvements in vivo independent inhomogeneities inhomogeneity instead internally latter least linear location locker logarithm look magnitude magnitudes manner many mapping maps modeled near nearly nested noise observe occurs optimization outperformed parametric perceived perturb perturbations polarity preformed problem problems procedure processes processing proposed proton randomly ranging rarely real reflected reign remained report require robust rodent routine routines sample scale scanner scanners scenarios search sense separable sign simplex simulated simulating simulation simulations simultaneously since situation smooth space spaced spin squares statistical studies term terms though trends twelve typically unbiased unbiasedness underlying understanding uniformly update useful variance varied wherein yield yielded