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Abstract #0402

An Open-Source Self-navigated Multi-Echo Gradient Echo Acquisition for R2* and QSM mapping using Pulseq and Model-Based Reconstruction

Xiaoqing Wang1,2, Berkin Bilgic1,2, Daniel Gallichan3, Kwok-Shing Chan4, and José P. Marques4
1Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, United States, 2Department of Radiology, Harvard Medical School, Boston, MA, United States, 3Cardiff University Brain Research Imaging Centre, Cardiff, United Kingdom, 4Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, Netherlands

Synopsis

Keywords: Pulse Sequence Design, Quantitative Susceptibility mapping, open-source, pulseqWe propose an open-source multi-echo GRE sequence and reconstruction algorithms for rapid acquisition and harmonization of QSM. This is implemented using Pulseq, where different sampling patterns are used across echoes to provide complementary information and facilitate the proposed MOdel BAsed (MOBA) reconstruction. MOBA estimates M0, R2* and frequency maps using nonlinear optimization and is implemented in BART to facilitate dissemination. B0 correction is performed using 1D navigators acquired during the crusher gradients in each repetition. Motion navigators inserted in the sequence permit robust estimation of motion parameters with time frames of ~13seconds, and will lend themselves to retrospective motion correction.

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Keywords