Jan Luts1, Teresa Laudadio1,2, M.Carmen Martnez-Bisbal3,4, Bernardo Celda3,4, Sabine Van Huffel1
1Department of Electrical engineering,
Division ESAT-SCD, Katholieke Universiteit Leuven, Leuven, Belgium; 2Istituto
per le Applicazioni del Calcolo M. Picone, National Research Council,
(IAC-CNR), Bari, Italy; 3Departamento de Qumica-Fsica, Facultad de
Qumica, Universidad de Valncia, Valncia, Spain; 4CIBER of
Bioengineering, Biomaterials and Nanomedicine, ISC-III, Spain
In spite of the significant progresses achieved in the field of MRI in the last decades, the differentiation between brain metastasis and glioblastoma is still a challenge since conventional MRI alone cannot always differentiate the two tumor types, while they require a completely different therapeutic treatment. Previous studies have shown that, in contrast to metastases, the peritumoral region in glioblastomas contains infiltrating tumor cells. This study explores the combination of MRI and two-dimensional Turbo Spectroscopic Imaging to distinguish the aforementioned tumors and proposes a novel classification method based on nosologic images, allowing a visual differentiation between metastasis and glioblastoma lesions.