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

by 1,2 and 3,4,*
1
Siemens Healthineers Korea Ltd., Seoul 03737, Korea
2
Department of Brain and Cognitive Engineering, Korea University, Seoul 02841, Korea
3
Department of Computer Engineering, Chonnam National University, Gwangju 61186, Korea
4
Department of ICT Convergence System Engineering, Chonnam National University, Gwangju 61186, Korea
*
Author to whom correspondence should be addressed.
Academic Editor: Dong-Hyun Kim
Tomography 2021, 7(4), 545-554; https://doi.org/10.3390/tomography7040047
Received: 13 August 2021 / Revised: 20 September 2021 / Accepted: 29 September 2021 / Published: 7 October 2021
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 outperforms competing methods in suppressing aliasing artifacts and noise at high SMS accelerations, thus leading to accurate T1 maps. View Full-Text
Keywords: magnetic resonance imaging; simultaneous multislice; low rank; null space; T1 mapping magnetic resonance imaging; simultaneous multislice; low rank; null space; T1 mapping
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MDPI and ACS Style

Kim, S.; Park, S. Simultaneous Multislice Brain MRI T1 Mapping with Improved Low-Rank Modeling. Tomography 2021, 7, 545-554. https://doi.org/10.3390/tomography7040047

AMA Style

Kim S, Park S. Simultaneous Multislice Brain MRI T1 Mapping with Improved Low-Rank Modeling. Tomography. 2021; 7(4):545-554. https://doi.org/10.3390/tomography7040047

Chicago/Turabian Style

Kim, Sugil, and Suhyung Park. 2021. "Simultaneous Multislice Brain MRI T1 Mapping with Improved Low-Rank Modeling" Tomography 7, no. 4: 545-554. https://doi.org/10.3390/tomography7040047

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