TY - JOUR
T1 - Generalized self-calibrating simultaneous multi-slice MR image reconstruction from 3D Fourier encoding perspective
AU - Lim, Eun Ji
AU - Shin, Taehoon
AU - Lee, Joonyeol
AU - Park, Jaeseok
N1 - Funding Information:
We highly appreciate Dr. Guobin Li, Chaohong Wang, and Shasha Yang from the United Imaging Healthcare (Shanghai, China) and Dr. Haifeng Wang from Chinese Academy of Sciences (Shenzhen, China) for providing us SMS data sets. This work is supported in part by NRF, Republic of Korea-2018M3C7A1056887, NRF, Republic of Korea -2021R1A4A1028713, and KMDF -202011D23.
Funding Information:
We highly appreciate Dr. Guobin Li, Chaohong Wang, and Shasha Yang from the United Imaging Healthcare (Shanghai, China) and Dr. Haifeng Wang from Chinese Academy of Sciences (Shenzhen, China) for providing us SMS data sets. This work is supported in part by NRF, Republic of Korea - 2018M3C7A1056887 , NRF, Republic of Korea - 2021R1A4A1028713 , and KMDF - 202011D23 .
Publisher Copyright:
© 2022 Elsevier B.V.
PY - 2022/11
Y1 - 2022/11
N2 - This work introduces a novel, k-space based one-step solution for simultaneous multi-slice MR image reconstruction from 3D Fourier encoding perspective. With undersampled SMS imaging, image reconstruction suffers from both inter-slice leakages and in-plane aliasing artifacts. Aliasing separation becomes further challenging in the presence of discrepancies between calibration and imaging. To address them, in this work a measured SMS 3D k-space with additional calibrating signals is decomposed into SMS imaging and self-calibrating data sets. Extended controlled aliasing is performed by upsampling the measured data in the kz-direction. A slice-specific null space operator is then learned using extended self-calibration exploiting target slices and additional in-plane-shifted images. Inter-slice leakages and in-plane aliasing artifacts are jointly resolved in a single step by solving a constrained optimization problem in which null space reconstruction consistency is balanced with a Hankel-structured low rank prior while data fidelity in 3D Fourier space is enforced. Retrospective and prospective studies are performed to validate the effectiveness of the proposed method in various regions including knee and L-spine.
AB - This work introduces a novel, k-space based one-step solution for simultaneous multi-slice MR image reconstruction from 3D Fourier encoding perspective. With undersampled SMS imaging, image reconstruction suffers from both inter-slice leakages and in-plane aliasing artifacts. Aliasing separation becomes further challenging in the presence of discrepancies between calibration and imaging. To address them, in this work a measured SMS 3D k-space with additional calibrating signals is decomposed into SMS imaging and self-calibrating data sets. Extended controlled aliasing is performed by upsampling the measured data in the kz-direction. A slice-specific null space operator is then learned using extended self-calibration exploiting target slices and additional in-plane-shifted images. Inter-slice leakages and in-plane aliasing artifacts are jointly resolved in a single step by solving a constrained optimization problem in which null space reconstruction consistency is balanced with a Hankel-structured low rank prior while data fidelity in 3D Fourier space is enforced. Retrospective and prospective studies are performed to validate the effectiveness of the proposed method in various regions including knee and L-spine.
KW - Image reconstruction
KW - Magnetic resonance imaging
KW - Parallel imaging
KW - Simultaneous multi-slice
UR - http://www.scopus.com/inward/record.url?scp=85138452000&partnerID=8YFLogxK
U2 - 10.1016/j.media.2022.102621
DO - 10.1016/j.media.2022.102621
M3 - Article
C2 - 36156418
AN - SCOPUS:85138452000
SN - 1361-8415
VL - 82
JO - Medical Image Analysis
JF - Medical Image Analysis
M1 - 102621
ER -