Abstract #1559

Uncertainty analysis framework for quantifying error propagation in MR Fingerprinting

Megan E Poorman¹, Zydrunas Gimbutas², Dan Ma³, Andrew Dienstfrey², and Kathryn E Keenan¹

¹Physical Measurement Laboratory, National Institute of Standards & Technology, Boulder, CO, United States, ²Information Technology Laboratory, National Institute of Standards & Technology, Boulder, CO, United States, ³Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States

This study demonstrated functionality of an error analysis framework applied to understand the impacts of variations in the MR Fingerprinting pipeline. Our preliminary analysis using both simulation and experimental methods showed small differences in the accuracy and precision of the reconstructed property maps with choice of k-space to image space reconstruction method. We demonstrated the need for a better understanding of error propagation within the pipeline, improved quantitative metrics of error, and future work will include a full Monte Carlo analysis using this framework.

This abstract and the presentation materials are available to members only; a login is required.

Join Here