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Abstract #1666

Accuracy and precision of R2* and fat-specific R1 from multiparametric relaxation mapping in fat-water mixtures

Nathalie Panov1, Renée-Claude Bider2, Véronique Fortier2,3, Ives Levesque3,4,5, and Jorge Campos Pazmino6
1Physiology, McGill University, Montreal, QC, Canada, 2Medical Physics Unit, McGill University, Montreal, QC, Canada, 3McGill University Health Center, Montreal, QC, Canada, 4McGill University, Montreal, QC, Canada, 5Research Institute of the McGill University Centre, Montreal, QC, Canada, 6Medical Phyisic Unit, McGill University, Montreal, QC, Canada

Synopsis

Keywords: Quantitative Imaging, Quantitative Imaging, Transverse relaxation rate, fat and water specific R2*, Fat DESPOT, MR-oximetry

Motivation: Grouping water- and fat-specific (R2*w and R2*f) into a single parameter (R2*observed) is a common assumption in MRI. However, the current literature does not address how this assumption affects the joint mapping of R1f and R2*.

Goal(s): To evaluate the precision and accuracy of R1f and R2*, under the assumptions of single- or dual-R2*.

Approach: Accuracy and precision of R2*observed, R2*w, R2*f, and R1f estimates from Fat DESPOT were studied under both assumptions in simulations and phantom experiments.

Results: R2*observed was equivalent to R2*w and R2*f for high and low PDFF, respectively; and R1f was not affected by R2*-based assumptions.

Impact: We determined that the single-R2* assumption has negligible effects on R1f precision and accuracy while enabling robust and precise estimation of R2*observed. Thus, the single-R2* assumption is a preferable alternative to the dual-R2* assumption.

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