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Array-compressed parallel transmit pulse design.
Cao, Zhipeng; Yan, Xinqiang; Grissom, William A.
Afiliação
  • Cao Z; Vanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, Tennessee, USA.
  • Yan X; Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee, USA.
  • Grissom WA; Vanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, Tennessee, USA.
Magn Reson Med ; 76(4): 1158-69, 2016 10.
Article em En | MEDLINE | ID: mdl-26510117
ABSTRACT

PURPOSE:

To design array-compressed parallel transmit radiofrequency (RF) pulses and compare them to pulses designed with existing transmit array compression strategies. THEORY AND

METHODS:

Array-compressed parallel RF pulse design is proposed as the joint optimization of a matrix of complex-valued compression weights that relate a full-channel physical array to a reduced-channel virtual array, along with a set of RF pulses for the virtual array. In this way, the physics of the RF pulse application determine the coil combination weights. Array-compressed pulse design algorithms are described for four parallel transmit applications accelerated two-dimensional spiral excitation, multislice RF shimming, small-tip-angle kT -points excitation, and slice-selective spokes refocusing. Array-compressed designs are compared in simulations and an experiment to pulses designed using four existing array compression strategies.

RESULTS:

In all cases, array-compressed pulses achieved the lowest root-mean-square excitation error among the array compression approaches. Low errors were generally achieved without increasing root-mean-square RF amplitudes or maximum local 10-gram specific absorption rate. Leave-one-out multisubject shimming simulations demonstrated that array-compressed RF shimming can identify useful fixed coil combination weights that perform well across a population.

CONCLUSION:

Array-compressed pulse design jointly identifies the transmit coil array compression weights and RF pulses that perform best for a specific parallel excitation application. Magn Reson Med 761158-1169, 2016. © 2015 Wiley Periodicals, Inc.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Processamento de Sinais Assistido por Computador / Imageamento por Ressonância Magnética / Interpretação de Imagem Assistida por Computador / Compressão de Dados Tipo de estudo: Diagnostic_studies / Evaluation_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Processamento de Sinais Assistido por Computador / Imageamento por Ressonância Magnética / Interpretação de Imagem Assistida por Computador / Compressão de Dados Tipo de estudo: Diagnostic_studies / Evaluation_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2016 Tipo de documento: Article