Meeting Banner
Abstract #1273

End-to-End Scan Parameter Optimization for Improved Myelin Water Imaging

Steven T. Whitaker1, Jon-Fredrik Nielsen2, and Jeffrey A. Fessler1
1Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, United States, 2Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States


Optimization techniques can be used to design scan parameters for quantitative imaging. The Cramér-Rao Lower Bound (CRLB) is often used for such designs, but it only characterizes unbiased estimators. We propose an end-to-end approach to scan design that optimizes scan parameters with a particular estimator in mind. We compare CRLB-based and end-to-end scan designs in the context of myelin water imaging. The end-to-end scan design results in lower estimation error in simulation and an in vivo myelin water fraction (MWF) map with improved contrast. The proposed end-to-end scan design approach is thus a promising alternative to using the CRLB.

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

Join Here