A vendor-neutral 3D MP-RAGE implementation in Pulseq for reduced inter-site variability
Yogesh Rathi1, Jon-Fredrik Nielsen2, Maxim Zaitsev3, Lipeng Ning1, Jr-Yuan Chiou4, Tae Hyung Kim5, William Grissom6, Borjan Gagoski7, and Berkin Bilgic5
1Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States, 2University of Michigan, Ann Arbor, MI, United States, 3High Field MR Center, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria, 4Brigham and Women's Hospital, Boston, MA, United States, 5Athinoula A. Martinos Center for Biomedical Imaging, Harvard Medical School, Boston, MA, United States, 6Vanderbilt University, Nashville, TN, United States, 7Fetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children’s Hospital, Harvard Medical School, Boston, MA, United States
Inter-scanner variability can reduce the statistical power of neuroimaging studies due to the increased variance in the data. While existing efforts employ consistent high level parameters to acquire data across scanners, we hypothesize that differences due to sequence implementation and reconstruction algorithms contribute substantially to variability in multi-center settings. We propose a unified vendor-neutral MP-RAGE protocol based on the Pulseq sequence development platform that can be used consistently across sites and vendors for reducing inter-scanner variability. Preliminary results show increased consistency of cortical thickness across sites using Pulseq protocol compared to vendor-provided sequences.
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