Adaptive slice-specific z-shimming for 2D spoiled gradient-echo sequences

Martin Soellradl, Johannes Strasser, Andreas Lesch, Rudolf Stollberger, Stefan Ropele, Christian Langkammer

Publikation: Beitrag in einer FachzeitschriftArtikel

Abstract

Purpose: To reduce the misbalance between compensation gradients and macroscopic field gradients, we introduce an adaptive slice-specific z-shimming approach for 2D spoiled multi-echo gradient-echoe sequences in combination with modeling of the signal decay. Methods: Macroscopic field gradients were estimated for each slice from a fast prescan (15 seconds) and then used to calculate slice-specific compensation moments along the echo train. The coverage of the compensated field gradients was increased by applying three positive and three negative moments. With a forward model, which considered the effect of the slice profile, the z-shim moment, and the field gradient, (Formula presented.) maps were estimated. The method was evaluated in phantom and in vivo measurements at 3 T and compared with a spoiled multi-echo gradient-echo and a global z-shimming approach without slice-specific compensation. Results: The proposed method yielded higher SNR in (Formula presented.) maps due to a broader range of compensated macroscopic field gradients compared with global z-shimming. In global white matter, the mean interquartile range, proxy for SNR, could be decreased to 3.06 s −1 with the proposed approach, compared with 3.37 s −1 for global z-shimming and 3.52 s −1 for uncompensated multi-echo gradient-echo. Conclusion: Adaptive slice-specific compensation gradients between echoes substantially improved the SNR of (Formula presented.) maps, and the signal could also be rephased in anatomical areas, where it has already been completely dephased.

Originalspracheenglisch
Seiten (von - bis)818-830
Seitenumfang13
FachzeitschriftMagnetic Resonance in Medicine
Jahrgang85
Ausgabenummer2
Frühes Online-DatumSep 2020
DOIs
PublikationsstatusVeröffentlicht - 1 Feb 2021

ASJC Scopus subject areas

  • !!Radiology Nuclear Medicine and imaging

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