TY  - JOUR
AU  - Krueger, Felix
AU  - Aigner, Christoph Stefan
AU  - Lutz, Max
AU  - Riemann, Layla Tabea
AU  - Degenhardt, Katja
AU  - Hadjikiriakos, Kimon
AU  - Zimmermann, Felix Frederik
AU  - Hammernik, Kerstin
AU  - Schulz-Menger, Jeanette
AU  - Schaeffter, Tobias
AU  - Schmitter, Sebastian
TI  - Deep learning-based whole-brain B1 +-mapping at 7T.
JO  - Magnetic resonance in medicine
VL  - 93
IS  - 4
SN  - 1522-2594
CY  - New York, NY [u.a.]
PB  - Wiley-Liss
M1  - DKFZ-2024-02171
SP  - 1700-1711
PY  - 2025
N1  - #LA:E020# / 2025 Apr;93(4):1700-1711
AB  - This study investigates the feasibility of using complex-valued neural networks (NNs) to estimate quantitative transmit magnetic RF field (B1 +) maps from multi-slice localizer scans with different slice orientations in the human head at 7T, aiming to accelerate subject-specific B1 +-calibration using parallel transmission (pTx).Datasets containing channel-wise B1 +-maps and corresponding multi-slice localizers were acquired in axial, sagittal, and coronal orientation in 15 healthy subjects utilizing an eight-channel pTx transceiver head coil. Training included five-fold cross-validation for four network configurations: NN cx tra 
AB  - <br clear="all" /><table border="0" width="100%"><tr><td>
AB  - <table align="center" cellspacing="0"  cellpadding="2"><tr><td nowrap="nowrap" align="center">
AB  -  NN<sub>cx</sub><sup>tra</sup> </td></tr></table>
AB  - </td></tr></table>
AB  - 
AB  -  used transversal, NN cx sag 
AB  - <br clear="all" /><table border="0" width="100%"><tr><td>
AB  - <table align="center" cellspacing="0"  cellpadding="2"><tr><td nowrap="nowrap" align="center">
AB  -  NN<sub>cx</sub><sup>sag</sup> </td></tr></table>
AB  - </td></tr></table>
AB  - 
AB  -  sagittal, NN cx cor 
AB  - <br clear="all" /><table border="0" width="100%"><tr><td>
AB  - <table align="center" cellspacing="0"  cellpadding="2"><tr><td nowrap="nowrap" align="center">
AB  -  NN<sub>cx</sub><sup>cor</sup> </td></tr></table>
AB  - </td></tr></table>
AB  - 
AB  -  coronal data, and NN cx all 
AB  - <br clear="all" /><table border="0" width="100%"><tr><td>
AB  - <table align="center" cellspacing="0"  cellpadding="2"><tr><td nowrap="nowrap" align="center">
AB  -  NN<sub>cx</sub><sup>all</sup> </td></tr></table>
AB  - </td></tr></table>
AB  - 
AB  -  was trained on all slice orientations. The resulting maps were compared to B1 +-reference scans using different quality metrics. The proposed network was applied in-vivo at 7T in two unseen test subjects using dynamic kt-point pulses.Predicted B1 +-maps demonstrated a high similarity with measured B1 +-maps across multiple orientations. The estimation matched the reference with a mean relative error in the magnitude of (2.70 ± 2.86)
KW  - 7 tesla (Other)
KW  - B1+‐mapping (Other)
KW  - brain (Other)
KW  - deep learning (Other)
KW  - parallel transmission (Other)
LB  - PUB:(DE-HGF)16
C6  - pmid:39462473
DO  - DOI:10.1002/mrm.30359
UR  - https://inrepo02.dkfz.de/record/294338
ER  -