Alexandre D'Astous1, Ryan Topfer1, Gaspard Cereza1, Eva Alonso-Ortiz1, Lincoln Craven-Brightman2, Jason Stockmann2,3, and Julien Cohen-Adad1,4
1NeuroPoly Lab, Institute of Biomedical Engineering, Ecole Polytechnique, Montreal, QC, Canada, 2Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 3Harvard Medical School, Boston, MA, United States, 4Functional Neuroimaging Unit, Centre de recherche de l'Institut universitaire de gériatrie de Montréal, Montreal, QC, Canada
1NeuroPoly Lab, Institute of Biomedical Engineering, Ecole Polytechnique, Montreal, QC, Canada, 2Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 3Harvard Medical School, Boston, MA, United States, 4Functional Neuroimaging Unit, Centre de recherche de l'Institut universitaire de gériatrie de Montréal, Montreal, QC, Canada
Shimming Toolbox is an open-source software package that aims to provide an easy-to-use, streamlined platform to perform static, dynamic and realtime $$$B_0$$$ shimming experiments.
Figure 2: Realtime z-shimming overview. Training session: Step 1: The pressure and fieldmaps are acquired. Step 2: Shimming Toolbox’s optimizer computes a time series of Gz maps. A linear regression is computed between the field gradient and the pressure. Imaging session: Step 3: A dummy GRE scan is run in order to obtain the target image. Step 4: The $$$G_z$$$ maps are resampled onto the target GRE images and $$$G_{z, static}$$$ and c for each slice are sent to the scanner. Step 5: Run the custom realtime z-shimming GRE sequence.
Figure 1: Pneumatic phantom with a long stick, which terminates by a slightly ferromagnetic object that oscillates back and forth creating a time-varying magnetic field.
