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Abstract #4942

Investigating the robustness of estimating B1+maps by a neural network at different UHF sites.

Kimon Hadjikiriakos1, Felix Krüger1, Felix Zimmermann1, Layla Tabea Riemann1, Katja Degenhardt1, Kerstin Hammernik2, Johannes Grimm3,4, Simon Schmidt5, Greg Metzger5, Mark E. Ladd5, Tobias Schaeffter1, and Sebastian Schmitter3,5,6
1Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany, 2School of Computation, Information and Technology, Technical University of Munich, Munich, Germany, 3Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany, 4Faculty of Physics and Astronomy, Heidelberg University, Heidelberg, Germany, Heidelberg, Germany, 5Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States, Minneapolis, MN, United States, 6Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States, Minneapolis, MN, United States, Minneapolis, Germany

Synopsis

Keywords: High-Field MRI, RF Pulse Design & Fields, High-Field MRI, pTx, B1+ mapping, neural networks

Motivation: B1+ -maps needed for subject-specific pTx can be derived from localizers using a neural network (NN), omitting separate B1+-mapping. Ideally, a single, general NN applicable to all UHF sites is highly desired.

Goal(s): Investigate the robustness of a neural network predicted B1+-field maps. Utilizing receive profiles from an 8Tx/32Rx head coil as neural network input.

Approach: Comparing the performance on data from identical and different commercial head coils across multiple MRI sites.

Results: Achieving SSIMs as high as 96% and RMSEs as low as 2.7%, with error mapping predominantly localizing discrepancies at the cranial margins, suggesting that larger datasets could enhance Gaussian convergence.

Impact: The study suggests that a single NN trained by a large B1+ library for one type of pTx head coil may be disseminated to other UHF sites that use the same coil. This will enable a fast, streamlined pTx calibration.

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Keywords