Simultaneous Multislice Brain MRI T1 Mapping with Improved Low-Rank Modeling.

ABSTRACT: To accelerate data acquisition speed in magnetic resonance imaging (MRI), multiple slices are simultaneously acquired using multiband pulses. Simultaneous multislice (SMS) imaging typically unfolds slice aliasing from the acquired collapsed slices. In this study, we extended the SMS framework to accelerated MR parameter quantification such as T1 mapping. Assuming that the slice-specific null space and signal subspace are invariant along the parameter dimension, we formulated the SMS framework as a constrained optimization problem under a joint reconstruction framework such that the noise and signal subspaces are used for slice separation and recovery, respectively. The proposed method was validated on 3T MR human brain scans. We successfully demonstrated that the proposed method outperform

SUBMITTER: Kim S 

PROVIDER: S-EPMC8544713 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature