한빛사논문
- 조회732
Eun Ji Lima,b, Taehoon Shinc, Joonyeol Leea,b, Jaeseok Parka,b
aDepartment of Biomedical Engineering, Sungkyunkwan University, Suwon, Republic of Korea
bDepartment of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, Republic of Korea
cDivision of Mechanical and Biomedical Engineering, Ewha Womans University, Seoul, Republic of Korea
Correspondence to: Jaeseok Park
Abstract
This work introduces a novel, -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 -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 -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.
논문정보
- Research article
- 2022년 11월 (BRIC 등록일 2022-11-17)
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