TY - GEN
T1 - Spectral decomposition methods for the analysis of MRS information from human brain tumors
AU - Ortega-Martorell, Sandra
AU - Vellido, Alfredo
AU - Lisboa, Paulo J.G.
AU - Julià-Sapé, Margarida
AU - Arús, Carles
PY - 2011
Y1 - 2011
N2 - The clinical assessment of human brain tumors requires the use of non-invasive information measurement technologies, usually from the modalities of imaging or spectroscopy. The latter may provide insight into the tumor metabolism. The Magnetic Resonance Spectroscopy (MRS) signal is the result of the combination of heterogeneous signal sources. In this study, we investigate the use of two spectral decomposition techniques for the identification of such sources in MRS from brain tumors collected in an international database, and for a number of different diagnostic problems.
AB - The clinical assessment of human brain tumors requires the use of non-invasive information measurement technologies, usually from the modalities of imaging or spectroscopy. The latter may provide insight into the tumor metabolism. The Magnetic Resonance Spectroscopy (MRS) signal is the result of the combination of heterogeneous signal sources. In this study, we investigate the use of two spectral decomposition techniques for the identification of such sources in MRS from brain tumors collected in an international database, and for a number of different diagnostic problems.
UR - http://www.scopus.com/inward/record.url?scp=80054751318&partnerID=8YFLogxK
U2 - 10.1109/IJCNN.2011.6033656
DO - 10.1109/IJCNN.2011.6033656
M3 - Otra contribución
AN - SCOPUS:80054751318
SN - 9781457710865
T3 - Proceedings of the International Joint Conference on Neural Networks
ER -