MAGNETIC RESONANCE SPECTROSCOPIC IMAGING: A SURVEY OF QUANTIFICATION AND CLASSIFICATION ALGORITHMS

The purpose of this paper is to provide a survey of a few but significant methods currently used by the Nuclear Magnetic Resonance (NMR) community to quantify and classify MR Spectroscopic Imaging (MRSI) signals. In particular, several time–domain algorithms, able to extract from MRSI data useful information aboute metabolite concentrations, will be outlined. Furthermore, some methods able to exploit this information to detect tumors and classify their grade of malignancy will also be given. Finally, a very recent tissue typing technique, based on the use of a statistical method called canonical correlation analysis, will be described.