Deep learning-based local SAR prediction using B<sub>1</sub> maps and structural MRI of the head for parallel transmission at 7 T.

Gokyar, Sayim; Zhao, Chenyang; Ma, Samantha J; Wang, Danny J J

Deep learning-based local SAR prediction using B₁ maps and structural MRI of the head for parallel transmission at 7 T.

Gokyar, Sayim; Zhao, Chenyang; Ma, Samantha J; Wang, Danny J J.

Gokyar S; Laboratory of FMRI Technology (LOFT), USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
Zhao C; Laboratory of FMRI Technology (LOFT), USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
Ma SJ; Siemens Medical Solutions USA, Los Angeles, California, USA.
Wang DJJ; Laboratory of FMRI Technology (LOFT), USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.

Magn Reson Med ; 90(6): 2524-2538, 2023 12.

Article en En | MEDLINE | ID: mdl-37466040

Asunto(s)

Aprendizaje Profundo; Humanos; Simulación por Computador; Cabeza/diagnóstico por imagen; Radiación Electromagnética; Imagen por Resonancia Magnética/métodos; Fantasmas de Imagen

Palabras clave

MRI safety; SAR prediction; convolutional neural networks; parallel transmission; ultrahigh field MRI

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Aprendizaje Profundo Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2023 Tipo del documento: Article

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