Suhyung Park1,2, Sugil Kim3, Hankyeol Lee4, Seulgi Eun4, Seong-Gi Kim4,5, and David Feinberg6,7
1Department of Computer Engineering, Chonnam National University, Gwangju, Korea, Republic of, 2Department of ICT Convergence System Engineering, Chonnam National University, Gwangju, Korea, Republic of, 3Siemens-Healthineers, Seoul, Korea, Republic of, 4Center for Neuroscience Imaging Research (CNIR), Institute for Basic Science (IBS), Suwon, Korea, Republic of, 5Department of Biomedical Engineering, Sungkyunkwan University, Suwon, Korea, Republic of, 6University of California, Berkeley, Berkeley, CA, United States, 7Advanced MRI Technologies, Sebastopol, CA, United States
With ultra-high fields, 3D
EPI has been used by improving imaging efficiency. Nevertheless, there have been some limitations: 1) the regular sampling limits
the use of temporal structure in the data and 2) parallel imaging allows up to 6-fold acceleration in 3D acquisition. Here, we developed an accelerated 3D EPI using VD-CAPI sampling with temporal random walk. Experimental studies
confirm advantages in acceleration, SNR, and sensitivity of the proposed method: 1) temporal random walk allows extra
spatial encoding across time, 2) temporal prior provides high SNR, and 3) the temporal incoherent sampling and high SNR result in higher BOLD activations.