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A hybrid numeric-analytic solution for pulsed CEST.
Lankford, Christopher L; Louie, Elizabeth A; Zu, Zhongliang; Does, Mark D; Gochberg, Daniel F.
Afiliación
  • Lankford CL; Vanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, Tennessee, United States.
  • Louie EA; Vanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, Tennessee, United States.
  • Zu Z; Vanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, Tennessee, United States.
  • Does MD; Department of Radiology and Radiological Sciences, Vanderbilt University, Nashville, Tennessee, United States.
  • Gochberg DF; Vanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, Tennessee, United States.
NMR Biomed ; 35(1): e4610, 2022 01.
Article en En | MEDLINE | ID: mdl-34636458
ABSTRACT
Chemical exchange saturation transfer (CEST) methods measure the effect of magnetization exchange between solutes and water. While CEST methods are often implemented using a train of off-resonant shaped RF pulses, they are typically analyzed as if the irradiation were continuous. This approximation does not account for exchange of rotated magnetization, unique to pulsed irradiation and exploited by chemical exchange rotation transfer methods. In this work, we derive and test an analytic solution for the steady-state water signal under pulsed irradiation by extending a previous work to include the effects of pulse shape. The solution is largely accurate at all offsets, but this accuracy diminishes at higher exchange rates and when applying pulse shapes with large root-mean-squared to mean ratios (such as multi-lobe sinc pulses).
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Análisis Numérico Asistido por Computador / Imagen por Resonancia Magnética / Interpretación de Imagen Asistida por Computador Idioma: En Revista: NMR Biomed Asunto de la revista: DIAGNOSTICO POR IMAGEM / MEDICINA NUCLEAR Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Análisis Numérico Asistido por Computador / Imagen por Resonancia Magnética / Interpretación de Imagen Asistida por Computador Idioma: En Revista: NMR Biomed Asunto de la revista: DIAGNOSTICO POR IMAGEM / MEDICINA NUCLEAR Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos