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Universal pulses: A new concept for calibration-free parallel transmission.
Gras, Vincent; Vignaud, Alexandre; Amadon, Alexis; Le Bihan, Denis; Boulant, Nicolas.
  • Gras V; NeuroSpin, CEA, DSV, Gif sur Yvette, Cedex, France.
  • Vignaud A; NeuroSpin, CEA, DSV, Gif sur Yvette, Cedex, France.
  • Amadon A; NeuroSpin, CEA, DSV, Gif sur Yvette, Cedex, France.
  • Le Bihan D; NeuroSpin, CEA, DSV, Gif sur Yvette, Cedex, France.
  • Boulant N; NeuroSpin, CEA, DSV, Gif sur Yvette, Cedex, France.
Magn Reson Med ; 77(2): 635-643, 2017 02.
Article en En | MEDLINE | ID: mdl-26888654
ABSTRACT

PURPOSE:

A calibration-free parallel transmission method is investigated to mitigate the radiofrequency (RF) field inhomogeneity problem in brain imaging at 7 Tesla (T). THEORY AND

METHODS:

Six volunteers were scanned to build a representative database of RF and static field maps at 7T. Small-tip-angle and inversion pulses were designed with joint kT -points trajectory optimization to work robustly on all six subjects. The returned "universal" pulses were then inserted in an MPRAGE sequence implemented on six additional volunteers without further field measurements and pulse optimizations. Similar acquisitions were performed in the circularly polarized mode and with subject-based optimizations for comparison. Performance of the different approaches was evaluated by means of image analysis and computation of the flip angle normalized root mean square errors (NRMSE).

RESULTS:

For both the excitation and inversion, the universal pulses (NRMSE∼11%) outperformed the circularly polarized (NRMSE∼28%) and RF shim modes (NRMSE∼20%) across all volunteers and returned slightly worse results than for subject-based optimized pulses (NRMSE∼7%).

CONCLUSION:

RF pulses can be designed to robustly mitigate the RF field inhomogeneity problem over a population class. This appears as a first step toward another plug and play parallel transmission solution where the pulse design can be done offline and without measuring subject-specific field maps. Magn Reson Med 77635-643, 2017. © 2016 International Society for Magnetic Resonance in Medicine.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Algoritmos / Procesamiento de Señales Asistido por Computador / Encéfalo / Imagen por Resonancia Magnética / Interpretación de Imagen Asistida por Computador / Aumento de la Imagen Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Adult / Female / Humans / Male Idioma: En Año: 2017 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Algoritmos / Procesamiento de Señales Asistido por Computador / Encéfalo / Imagen por Resonancia Magnética / Interpretación de Imagen Asistida por Computador / Aumento de la Imagen Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Adult / Female / Humans / Male Idioma: En Año: 2017 Tipo del documento: Article