Meeting Banner
Abstract #1875

Highly accelerated Bloch-Siegert B1+ mapping using variational modeling

Andreas Lesch1, Matthias Schlögl1, Martin Holler2, and Rudolf Stollberger1,3

1Institute of Medical Engineering, Graz University of Technology, Graz, Austria, 2Institute of Mathematics and Scientific Computing, University of Graz, Graz, Austria, 3BioTechMed Graz, Graz, Austria

In this work we describe a novel method, which is able to reconstruct B1+-maps from highly under-sampled Bloch-Siegert data. This method is based on variational methods and a problem specific regularization approach. We show its capability to achieve successful reconstructions from more than 100times under-sampled 3D-data in the human brain with a mean error below 1%. The results are compared to a fully-sampled reference and a conventional low resolution reconstruction for different under-sampling factors.

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

Join Here