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Simultaneous Multislice Brain MRI T1 Mapping with Improved Low-Rank Modeling
| Content Provider | MDPI |
|---|---|
| Author | Kim, Sugil Park, Suhyung |
| Copyright Year | 2021 |
| Description | 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. |
| Ending Page | 554 |
| Page Count | 10 |
| Starting Page | 545 |
| e-ISSN | 2379139X |
| DOI | 10.3390/tomography7040047 |
| Journal | Tomography |
| Issue Number | 4 |
| Volume Number | 7 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2021-10-07 |
| Access Restriction | Open |
| Subject Keyword | Tomography Radiology, Nuclear Medicine and Imaging Magnetic Resonance Imaging Simultaneous Multislice Low Rank Null Space T1 Mapping |
| Content Type | Text |
| Resource Type | Article |
