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Design strategies for improved velocity-selective pulse sequences.
Matson, Gerald B.
Afiliação
  • Matson GB; Department of Veterans Affairs Medical Center, San Francisco, CA 94121, United States; Department of Pharmaceutical Chemistry, University of California, San Francisco, CA, United States. Electronic address: gerald.matson@ucsf.edu.
Magn Reson Imaging ; 44: 146-156, 2017 12.
Article em En | MEDLINE | ID: mdl-28890384
ABSTRACT
Over the years, a variety of MRI methods have been developed for visualizing or measuring blood flow without the use of contrast agents. One particular class of methods uses flow-encoding gradients associated with an RF pulse sequence to distinguish spins in flowing blood from stationary spins. While a strength of these particular methods is that, in general, they can be tailored to capture a desired range of blood flow, such sequences either do not provide a sharp transition from stationary spins to flowing spins, or else are long, generating relaxation losses and undesirable SAR, and have limited immunity to resonance offsets and to RF inhomogeneity. This article provides design methods for improving these longer RF pulse sequences, especially to provide improved immunity to RF inhomogeneity, and also to improve immunity to resonance offsets, as well as to minimize RF sequence length. These design methods retain the flexibility to capture a desired range of blood flow, with sharp transitions between stationary spins and flowing blood. These improvement strategies are demonstrated through Bloch equations simulations of examples of these new sequences in the presence of blood flow. Examples of improved sequences that should prove suitable for use at 3.0Tesla are presented.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Imageamento por Ressonância Magnética / Interpretação de Imagem Assistida por Computador Limite: Humans Idioma: En Revista: Magn Reson Imaging Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Imageamento por Ressonância Magnética / Interpretação de Imagem Assistida por Computador Limite: Humans Idioma: En Revista: Magn Reson Imaging Ano de publicação: 2017 Tipo de documento: Article
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