Quantitative Measurement of 1H MRS Brain tabolite Based on the QUEST
基于QUEST定量检测1H MRS大脑代谢物的研究

The time domain analysis method provided by the jMRUI software was applied to quantify in vivo 1H magnetic resonance spectra obtained from the brain with simulated priori knowledge base set. The residual water signals were filtered through HankelLanczos singular value decomposition (HLSVD) algorithm. The QUEST arithmetic was used for metabolite quantification, with simulated short echo spectra (TE=28 ms) of the metabolites as prior knowledge. The results showed that that the concentrations of brain metabolites could be estimated effectively from the 1H spectra using the QUEST method. It was demonstrated that, by introducing priori knowledge base sets, the difficulties in metabolite quantification concerning the complexity of the spectra and peak overlapping could be overcame.