Clinically feasible B 1 field correction for multi‐organ sodium imaging at 3 T

Autor: Michael Vaeggemose, Rolf F. Schulte, Christoffer Laustsen
Rok vydání: 2022
Předmět:
Zdroj: Vaeggemose, M, Schulte, R F & Laustsen, C 2023, ' Clinically feasible B1 field correction for multi-organ sodium imaging at 3T ', NMR in Biomedicine, vol. 36, no. 2, e4835 . https://doi.org/10.1002/nbm.4835
ISSN: 1099-1492
0952-3480
DOI: 10.1002/nbm.4835
Popis: Sodium MRI allows the non-invasive quantification of intra-organ sodium concentration. Radiofrequency inhomogeneity introduces uncertainty in this estimated concentration. B1 field corrections can be used to overcome some of these limitations. However, the low signal-to-noise ratio in sodium MRI makes accurate B1 mapping in reasonable scan times challenging. The study aims to evaluate Bloch-Siegert off-resonance (BLOSI) B1 field correction for sodium MRI using a 3D Fermat Looped, Orthogonally Encoded Trajectories (FLORET) read-out trajectory. We propose a clinically feasible B1 field map correction method for sodium imaging at 3T, evaluating five healthy subjects' brain, heart blood, kidneys, and thigh muscle. We scanned the subjects twice for repeatability measures and used sodium phantoms to determine organ total sodium concentration. Conventional proton scans were compared to sodium images for organ structural integrity. The BLOSI approach based on the 3D FLORET read-out trajectory was used in B1 field correction and 3D density-adapted radial acquisition for sodium imaging. Results indicate improvements in sodium imaging based on B1 field correction in a clinically feasible protocol. Improvements are determined in all organs by enhanced anatomical representation, organ homogeneity, and an increase in the total sodium concentration after applying a B1 field correction. The proposed BLOSI-based B1 field correction using a 3D FLORET read-out trajectory is clinically feasible for sodium imaging which is shown in the brain, heart, kidney, and thigh muscle. This supports using fast B1 field mapping in the clinical setting.
Databáze: OpenAIRE
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