Dealing with peaks overlapping issue in quantifying metabolites in MRSI

Abstract

A novel methodology deals with the peaks overlapping issue in quantifying metabolites in MRSI is proposed in this paper. The introduced method encounters the metabolites quantification procedure as a typical optimization problem able to be solved by using optimization methods of the computational intelligence. A simple genetic algorithm is applied in order to find the metabolites peaks parameters that best match the spectrum in process. This novel approach comes to overcome the disadvantages of the neural networks, used for the same purpose, where the overlapping issue is handled difficultly. The experimental results are very promising showing that highly overlapped metabolites peaks can quantified accurately, by using the proposed method and place the basis for further investigation.