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Advanced design of MRI inversion pulses for inhomogeneous field conditions by optimal control.
Graf, Christina; Soellradl, Martin; Aigner, Christoph Stefan; Rund, Armin; Stollberger, Rudolf.
Afiliação
  • Graf C; Institute of Biomedical Imaging, Graz University of Technology, Graz, Austria.
  • Soellradl M; Institute of Biomedical Imaging, Graz University of Technology, Graz, Austria.
  • Aigner CS; Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany.
  • Rund A; Institute for Mathematics and Scientific Computing, University of Graz, Graz, Austria.
  • Stollberger R; Institute of Biomedical Imaging, Graz University of Technology, Graz, Austria.
NMR Biomed ; 35(11): e4790, 2022 11.
Article em En | MEDLINE | ID: mdl-35731240
ABSTRACT
Non-selective inversion pulses find widespread use in MRI applications, where requirements on them are increasingly demanding. With the use of high and ultra-high field strength systems, robustness to Δ B 0 and B 1 + inhomogeneities, while tackling SAR and hardware limitations, has rapidly become important. In this work, we propose a time-optimal control framework for the optimization of Δ B 0 - and B 1 + -robust inversion pulses. Robustness is addressed by means of ensemble formulations, while allowing inclusion of hardware and energy limitations. The framework is flexible and performs excellently for various optimization goals. The optimization results are analyzed extensively in numerical experiments. Furthermore, they are validated, and compared with adiabatic RF pulses, in various phantom and in vivo measurements on a 3 T MRI system.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Algoritmos / Imageamento por Ressonância Magnética Idioma: En Revista: NMR Biomed Assunto da revista: DIAGNOSTICO POR IMAGEM / MEDICINA NUCLEAR Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Áustria

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Algoritmos / Imageamento por Ressonância Magnética Idioma: En Revista: NMR Biomed Assunto da revista: DIAGNOSTICO POR IMAGEM / MEDICINA NUCLEAR Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Áustria