Literature DB >> 11794770

Iterative RF pulse refinement for magnetic resonance imaging.

Eliot T Lebsack1, Steven M Wright.   

Abstract

Selective RF pulses are needed for many applications in magnetic resonance imaging (MRI). The waveform required to produce a desired excitation profile is, to first-order, its Fourier transform. This approximation is most valid for small tip angles and the quality and accuracy of such excitations decreases with increasing tip angle. Since large-tip-angle excitations are required in most types of imaging, a better synthesis technique is necessary. While a variety of analytical and numerical synthesis techniques based on solution of the Bloch equations are available, these techniques fail to consider the effect of the physical scanner hardware and are often accompanied by computational complexity. We present a technique for selective RF pulse refinement which uses real-time feedback techniques in lieu of a solution to the Bloch equations. Physical experiments are conducted to demonstrate the effectiveness of this algorithm and an extension to pulses of 90 degrees is investigated.

Mesh:

Year:  2002        PMID: 11794770     DOI: 10.1109/10.972838

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  3 in total

1.  Designing multichannel, multidimensional, arbitrary flip angle RF pulses using an optimal control approach.

Authors:  Dan Xu; Kevin F King; Yudong Zhu; Graeme C McKinnon; Zhi-Pei Liang
Journal:  Magn Reson Med       Date:  2008-03       Impact factor: 4.668

2.  Correction of parallel transmission using concurrent RF and gradient field monitoring.

Authors:  Mustafa Çavuşoğlu; Benjamin Emanuel Dietrich; David Otto Brunner; Markus Weiger; Klaas Paul Pruessmann
Journal:  MAGMA       Date:  2017-04-25       Impact factor: 2.310

3.  Iterative correction of RF envelope distortion with GRATER-measured waveforms.

Authors:  Vanessa L Landes; Krishna S Nayak
Journal:  Magn Reson Med       Date:  2019-08-23       Impact factor: 4.668

  3 in total

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