The study designed a novel neurometabolic mapping using multi-slice Spiral-MRSI with multi-voxel segmentation and support vector machine(SVM) techniques to demonstrate the true nature of NAWM and WML of RRMS patients, compared to HCs. 3D-Spiral-MRSI covering 75% of the brain on 16 RRMS and 9 HCs were used. Multi-slice-MRSI was processed using novel pipeline with 3-model SVM classifications. Neurometabolic mapping revealed that (NAA/tCr) in WM-lesions was significantly lower than NAWM-MS and HCs with HCs vs WML model achieving highest sensitivity and specificity. Multi-slice-spiral-MRSI may enhance diagnosis and clinical monitoring of RRMS patients, and is sensitive in diagnosing RRMS even in NAWM.