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Rigid motion-resolved B(1)(+) prediction using deep learning for real-time parallel-transmission pulse design
PURPOSE: Tailored parallel-transmit (pTx) pulses produce uniform excitation profiles at 7 T, but are sensitive to head motion. A potential solution is real-time pulse redesign. A deep learning framework is proposed to estimate pTx B(1)(+) distributions following within-slice motion, which can then b...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7613077/ https://www.ncbi.nlm.nih.gov/pubmed/34958134 http://dx.doi.org/10.1002/mrm.29132 |