Stochastic-offset-enhanced restricted slice excitation and 180° refocusing designs with spatially non-linear &#916;B<sub>0</sub> shim array fields.

Zhang, Molin; Arango, Nicolas; Arefeen, Yamin; Guryev, Georgy; Stockmann, Jason P; White, Jacob; Adalsteinsson, Elfar

Stochastic-offset-enhanced restricted slice excitation and 180° refocusing designs with spatially non-linear ΔB₀ shim array fields.

Zhang, Molin; Arango, Nicolas; Arefeen, Yamin; Guryev, Georgy; Stockmann, Jason P; White, Jacob; Adalsteinsson, Elfar.

Afiliação

Zhang M; Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Arango N; Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Arefeen Y; Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Guryev G; Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Stockmann JP; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA.
White J; Department of Radiology, Harvard Medical School, Charlestown, Massachusetts, USA.
Adalsteinsson E; Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.

Magn Reson Med ; 90(6): 2572-2591, 2023 Dec.

Article em En | MEDLINE | ID: mdl-37667645

Assuntos

Aumento da Imagem; Imageamento por Ressonância Magnética; Aumento da Imagem/métodos; Imageamento por Ressonância Magnética/métodos; Algoritmos; Imagens de Fantasmas

Palavras-chave

decomposition property; equivalent crusher gradient effect; fetal MRI; selective RF design; stochastic offset strategy; time-varying shim array fields

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Imageamento por Ressonância Magnética / Aumento da Imagem Idioma: En Revista: Magn Reson Med Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

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