Peak-specific phase correction for automated spectrum processing of in vivo magnetic resonance spectroscopic imaging by using the multiscale approach.

Abstract

Automatic metabolite quantification with curve fitting is essential in analyzing large amount of in vivo magnetic resonance spectroscopic imaging (MRSI) data. However, such data analysis is usually hindered by distorted metabolite peaks and baselines normally seen in in vivo MRS. In the present study, a multiscale approach was utilized for peak-specific automatic phase correction in multi-slice MRSI data of human brain. The results suggest that this novel approach can improve the robustness and efficiency of metabolite quantification and facilitate automatic analysis of multi-slice in vivo MRSI data in human brain.