Balasrinivasa R. Sajja1, Himanshu Bhat2, Michael D. Boska1, Ponnada A. Narayana3
1Department of Radiology, Univ. of Nebraska Medical Center, Omaha, NE, USA; 2Department of Biomedical Engineering, Northwestern University, Chicago, IL, USA; 3Department of Diagnostic and Interventional Imaging, Univ. of Texas Medical School, Houston, TX, USA
Presence of lipid in brain may represent active de- or re-myelination in multiple sclerosis. Manual examination of each voxel for lipid peak in MRSI data is tedious and this becomes acute in multicenter clinical trials where large data need to be analyzed. In this study, we present a rapid and robust method based on artificial neural networks for automatic identification of lipid peaks in MRSI data.