Meeting Banner
Abstract #2520

Whole body Quantitative Susceptibility Mapping using Automated Preconditioning

Zhe Liu1,2, Yan Wen1,2, Pascal Spincemaille1, Thanh Nguyen1, and Yi Wang1,2

1Radiology, Weill Cornell Medical College, New York, NY, United States, 2Biomedical Engineering, Cornell University, Ithaca, NY, United States

An automated method is proposed for generating an optimal preconditioner for a given field input for performing preconditioned total field inversion quantitative susceptibility mapping. In gradient echo data acquired in healthy subjects and patients in various anatomic regions, the obtained preconditioner leads to the same optimal susceptibility map quality as a manually selected preconditioner.

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

Join Here