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Steady-state double-angle method for rapid B1 mapping.
Bouhrara, Mustapha; Spencer, Richard G.
Afiliação
  • Bouhrara M; Laboratory of Clinical Investigation, National Institute on Aging, National Institutes of Health, Baltimore, Maryland.
  • Spencer RG; Laboratory of Clinical Investigation, National Institute on Aging, National Institutes of Health, Baltimore, Maryland.
Magn Reson Med ; 82(1): 189-201, 2019 07.
Article em En | MEDLINE | ID: mdl-30828871
ABSTRACT

PURPOSE:

To introduce an accurate, rapid, and practical method for active B1 field mapping based on the double-angle method (DAM) in the steady-state (SS) signal regime.

METHODS:

We introduced and evaluated the performance of the SS-DAM approach to map the B1 field and compared the results to those calculated from the conventional DAM approach. Similar to DAM, SS-DAM uses the signal intensity ratio of 2 magnitude images acquired with different flip angles using the spoiled gradient recalled echo sequence. However, unlike DAM, in SS-DAM, these 2 spoiled gradient recalled echo images are acquired with very short TR, which allows substantially reduced acquisition time. Numerical, phantom, and in vivo brain imaging analyses, representing a wide range of T1 s and large B1 variation, were conducted. Methods for further accelerating acquisition were also investigated.

RESULTS:

Our results demonstrate the potential of the SS-DAM approach to be applied widely in the clinical setting. B1 maps derived from SS-DAM were demonstrated to be quantitatively comparable to those derived from DAM but were derived much more rapidly. Large-volume B1 maps were obtained at a field strength of 3 tesla within clinically acceptable acquisition times.

CONCLUSION:

SS-DAM permits accurate B1 mapping in the clinical setting, with whole-brain coverage in less than 1 min.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Imageamento por Ressonância Magnética Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Imageamento por Ressonância Magnética Idioma: En Ano de publicação: 2019 Tipo de documento: Article