Jan Luts1, Teresa Laudadio, 1,2,
M. Carmen Martinez-Bisbal3,4, Sofie Van Cauter1,
Enrique Molla5, Jose Piquer5, Johan Suykens1,
Uwe Himmelreich1, Bernardo Celda3,4, Sabine Van Huffel1
1Katholieke Universiteit Leuven,
Leuven, Belgium; 2Istituto Applicazioni Calcolo, CNR, Bari, Italy;
3University of Valencia, Valencia, Spain; 4Networking
Research Center on Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN),
Valencia, Spain; 5Hospital de La Ribera, Valencia, Spain
This
study focuses on the differentiation between solitary brain metastasis and
glioblastoma multiforme based on conventional magnetic resonance imaging
(MRI) and long TE two-dimensional turbo spectroscopic imaging (2D-TSI) data.
Fifteen patients with a brain tumor, nine affected by glioblastoma multiforme
and six by metastasis, were considered. Non-negative matrix factorization
(NNMF) results in a clear separation of glioblastomas and metastases. The methods
allows visualizing the abundances of the normal tissue component, which
indicate tumor infiltration. In conclusion, automated processing with NNMF of
2D-TSI enables to visualize metabolic differences between glioblastomas and
metastases and enables to visualize tumor infiltration.