| Zugriffsnummer | 45580 |
| Dokumenttyp | Zeitschriftenartikel |
| Peer Review | mit Peer Review |
| Sprache | Englisch |
| Titel | DeepControl: 2DRF pulses facilitating B1+ inhomogeneity and B0 off‐resonance compensation in vivo at 7 T |
| Autor(in); Institution |
Vinding, Mads Sloth; Center of Functionally Integrative Neuroscience (CFIN), Department of Clinical Medicine, Faculty of Health, Aarhus University, Aarhus, DENMARK
Aigner, Christoph Stefan; 8.1, Biomedizinische Magnetresonanz, PTB-Berlin
Schmitter, Sebastian; 8.1, Biomedizinische Magnetresonanz, PTB-Berlin
Ellegaard Lund, Torben; Center of Functionally Integrative Neuroscience (CFIN), Department of Clinical Medicine, Faculty of Health, Aarhus University, Aarhus, DENMARK
|
| Quelle/Jahr | Magnetic Resonance in Medicine: 85 (2021), 6, 3308 - 3317 |
| ISSN | 0740-3194 (PRINT) ; 1522-2594 (ONLINE) |
| DOI | |
| Verlag | New York, NY: Wiley |
| Zusammenfassung | Purpose: Rapid 2DRF pulse design with subject‐specific B1+ inhomogeneity and B0 off‐resonance compensation at 7 T predicted from convolutional neural networks is presented. Methods: The convolution neural network was trained on half a million single‐channel transmit 2DRF pulses optimized with an optimal control method using artificial 2D targets, B1+ and B0 maps. Predicted pulses were tested in a phantom and in vivo at 7 T with measured B1+ and B0 maps from a high‐resolution gradient echo sequence. Results: Pulse prediction by the trained convolutional neural network was done on the fly during the MR session in approximately 9 ms for multiple hand‐drawn regions of interest and the measured B1+ and B0 maps. Compensation of B1+ inhomogeneity and B0 off‐resonances has been confirmed in the phantom and in vivo experiments. The reconstructed image data agree well with the simulations using the acquired B1+ and B0 maps, and the 2DRF pulse predicted by the convolutional neural networks is as good as the conventional RF pulse obtained by optimal control. Conclusion: The proposed convolutional neural network‐based 2DRF pulse design method predicts 2DRF pulses with an excellent excitation pattern and compensated B1+ and B0 variations at 7 T. The rapid 2DRF pulse prediction (9 ms) enables subject‐specific high‐quality 2DRF pulses without the need to run lengthy optimizations. |
| Kostenfreier Zugang | Open Access Hybrid |
| Rechteinformation | CC BY 4.0 ; Creative Commons Attribution 4.0 License |
| Themenbereich der Metrologie | Metrologie in der Medizin |