Jaeyong Yu1,2, Sugil Kim3, Jae-Kyun Ryu4, and Jang-Yeon Park1,2,4
1Department of Biomedical Engineering, Sungkyunkwan University, Suwon, Korea, Republic of, 2Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, Korea, Republic of, 3Siemens Healthineers, Seoul, Korea, Republic of, 4Biomedical Institute for Convergence at SKKU, Sungkyunkwan University, Suwon, Korea, Republic of
1Department of Biomedical Engineering, Sungkyunkwan University, Suwon, Korea, Republic of, 2Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, Korea, Republic of, 3Siemens Healthineers, Seoul, Korea, Republic of, 4Biomedical Institute for Convergence at SKKU, Sungkyunkwan University, Suwon, Korea, Republic of
In this work, we propose a 3D
spatiotemporal encoding (SPEN) SMS imaging with controlled aliasing
for parallel imaging results in higher acceleration (CAIPIRINHA) and split
slice generalized auto-calibrating partially parallel acquisitions (Split
Slice-GRAPPA).
Figure 4: Illustrating the comparison of
reference non-SMS ERASE images, SMS-ERASE images with no CAIPI, and SMS-ERASE
images with CAIPI. (a) Two slices of non-SMS ERASE, (b) Unfolded images of
SMS-ERASE with no CAIPI, (c) Unfolded images of SMS-ERASE with CAIPI, (d) Error
maps obtained by subtracting SMS-ERASE images with no CAIPI from non-SMS ERASE
images, (e) Error maps obtained by subtracting SMS-ERASE images with CAIPI from
non-SMS ERASE images.
Figure 1: (a) Pulse sequence diagram of
the original non-SMS ERASE, (b) Schematic representation of CAIPI in case of
two-banded SMS ERASE, (c) Aliased images of SMS-ERASE with reduction of aliased
regions by CAIPI.