Berg Emile, Grüner Renate, Seland John Georg
Department of Chemistry, University of Bergen, Allegaten 41, 5007, Bergen, Norway.
Department of Physics and Technology, University of Bergen, Allegaten 55, 5007, Bergen, Norway.
MAGMA. 2025 Jul 15. doi: 10.1007/s10334-025-01275-x.
To reduce errors from J-modulations and spectral overlap in dMRS of brain metabolites, this study combines the use of diffusion-weighted gradients with selective refocusing and spectral editing.
Bipolar gradients were combined with spectral refocusing and editing in a dMEGA-PRESS sequence. Experimental parameters were optimised for spectral editing of GABA, with co-editing of Glutamate and Glutamine. The method was tested in metabolite phantom solutions, followed by pre-clinical experiments on rats.
The dMEGA-PRESS sequence enabled reliable spectral editing and quantification of GABA. Selective refocusing and editing resulted in reduced uncertainty in the diffusion data for GABA and Glutamate in the metabolite phantoms, and also for the combined Glutamate/Glutamine diffusion data obtained in vivo. Reliable diffusion data for GABA was not possible to obtain from the in vivo spectra.
For metabolites with significant J-modulations but without spectral overlap, selective refocusing improved the quality of diffusion data. For metabolites with spectral overlap where editing is necessary, spectral subtraction makes it more challenging to improve the quality of diffusion-weighted data.
The dMEGA-PRESS sequence reduces the uncertainty in obtained diffusion data for brain metabolites that are significantly influenced by J-modulations.
为减少脑代谢物扩散加权磁共振波谱(dMRS)中J调制和谱重叠产生的误差,本研究将扩散加权梯度与选择性重聚焦和谱编辑相结合。
在双极梯度回波单体素质子磁共振波谱编辑(dMEGA-PRESS)序列中,将双极梯度与谱重聚焦和编辑相结合。针对γ-氨基丁酸(GABA)的谱编辑对实验参数进行优化,同时对谷氨酸和谷氨酰胺进行协同编辑。该方法在代谢物模型溶液中进行测试,随后在大鼠身上进行临床前实验。
dMEGA-PRESS序列实现了对GABA可靠的谱编辑和定量分析。选择性重聚焦和编辑减少了代谢物模型中GABA和谷氨酸扩散数据的不确定性,以及体内获得的谷氨酸/谷氨酰胺组合扩散数据的不确定性。从体内谱中无法获得GABA的可靠扩散数据。
对于具有显著J调制但无谱重叠的代谢物,选择性重聚焦提高了扩散数据的质量。对于存在谱重叠且需要编辑的代谢物,谱减法使得提高扩散加权数据的质量更具挑战性。
dMEGA-PRESS序列减少了受J调制显著影响的脑代谢物所获得扩散数据的不确定性。