Model-based reconstruction for simultaneous multi-slice T 1 mapping using single-shot inversion-recovery radial FLASH
To develop a single-shot multi-slice mapping method by combing simultaneous multi-slice (SMS) excitations, single-shot inversion-recovery (IR) radial fast low-angle shot (FLASH), and a nonlinear model-based reconstruction method. SMS excitations are combined with a single-shot IR radial FLASH sequen...
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Veröffentlicht in: | Magnetic resonance in medicine 2021-03, Vol.85 (3), p.1258 |
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Sprache: | eng |
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Zusammenfassung: | To develop a single-shot multi-slice
mapping method by combing simultaneous multi-slice (SMS) excitations, single-shot inversion-recovery (IR) radial fast low-angle shot (FLASH), and a nonlinear model-based reconstruction method.
SMS excitations are combined with a single-shot IR radial FLASH sequence for data acquisition. A previously developed single-slice calibrationless model-based reconstruction is extended to SMS, formulating the estimation of parameter maps and coil sensitivities from all slices as a single nonlinear inverse problem. Joint-sparsity constraints are further applied to the parameter maps to improve
precision. Validations of the proposed method are performed for a phantom and for the human brain and liver in 6 healthy adult subjects.
Phantom results confirm good
accuracy and precision of the simultaneously acquired multi-slice
maps in comparison to single-slice references. In vivo human brain studies demonstrate the better performance of SMS acquisitions compared to the conventional spoke-interleaved multi-slice acquisition using model-based reconstruction. Aside from good accuracy and precision, the results of 6 healthy subjects in both brain and abdominal studies confirm good repeatability between scan and re-scans. The proposed method can simultaneously acquire
maps for 5 slices of a human brain (
) or 3 slices of the abdomen (
) within 4 seconds.
The IR SMS radial FLASH acquisition together with a nonlinear model-based reconstruction enable rapid high-resolution multi-slice
mapping with good accuracy, precision, and repeatability. |
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ISSN: | 1522-2594 |
DOI: | 10.1002/mrm.28497 |