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000294338 1001_ $$aKrueger, Felix$$b0
000294338 245__ $$aDeep learning-based whole-brain B1 +-mapping at 7T.
000294338 260__ $$aNew York, NY [u.a.]$$bWiley-Liss$$c2025
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000294338 500__ $$a#LA:E020# / 2025 Apr;93(4):1700-1711
000294338 520__ $$aThis 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 $$ {\mathrm{NN}}_{\mathrm{cx}}^{\mathrm{tra}} $$ used transversal, NN cx sag $$ {\mathrm{NN}}_{\mathrm{cx}}^{\mathrm{sag}} $$ sagittal, NN cx cor $$ {\mathrm{NN}}_{\mathrm{cx}}^{\mathrm{cor}} $$ coronal data, and NN cx all $$ {\mathrm{NN}}_{\mathrm{cx}}^{\mathrm{all}} $$ 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)% and mean absolute phase difference of (6.70 ± 1.99)° for transversal, (1.82 ± 0.69)% and (4.25 ± 1.62)° for sagittal ( NN cx sag $$ {\mathrm{NN}}_{\mathrm{cx}}^{\mathrm{sag}} $$ ), as well as (1.33 ± 0.27)% and (2.66 ± 0.60)° for coronal slices ( NN cx cor $$ {\mathrm{NN}}_{\mathrm{cx}}^{\mathrm{cor}} $$ ) considering brain tissue. NN cx all $$ {\mathrm{NN}}_{\mathrm{cx}}^{\mathrm{all}} $$ trained on all orientations enables a robust prediction of B1 +-maps across different orientations. Achieving a homogenous excitation over the whole brain for an in-vivo application displayed the approach's feasibility.This study demonstrates the feasibility of utilizing complex-valued NNs to estimate multi-slice B1 +-maps in different slice orientations from localizer scans in the human brain at 7T.
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000294338 650_7 $$2Other$$a7 tesla
000294338 650_7 $$2Other$$aB1+‐mapping
000294338 650_7 $$2Other$$abrain
000294338 650_7 $$2Other$$adeep learning
000294338 650_7 $$2Other$$aparallel transmission
000294338 7001_ $$00000-0003-3618-9610$$aAigner, Christoph Stefan$$b1
000294338 7001_ $$00009-0001-1956-3757$$aLutz, Max$$b2
000294338 7001_ $$00000-0001-5411-7288$$aRiemann, Layla Tabea$$b3
000294338 7001_ $$aDegenhardt, Katja$$b4
000294338 7001_ $$00009-0002-8625-8522$$aHadjikiriakos, Kimon$$b5
000294338 7001_ $$00000-0002-0862-8973$$aZimmermann, Felix Frederik$$b6
000294338 7001_ $$00000-0002-2734-1409$$aHammernik, Kerstin$$b7
000294338 7001_ $$00000-0003-3100-1092$$aSchulz-Menger, Jeanette$$b8
000294338 7001_ $$00000-0003-1310-2631$$aSchaeffter, Tobias$$b9
000294338 7001_ $$0P:(DE-He78)19e2d877276b0e5eec11cdfc1789a55e$$aSchmitter, Sebastian$$b10$$eLast author$$udkfz
000294338 773__ $$0PERI:(DE-600)1493786-4$$a10.1002/mrm.30359$$gp. mrm.30359$$n4$$p1700-1711$$tMagnetic resonance in medicine$$v93$$x1522-2594$$y2025
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