Sandra
Ortega-Martorell1,2, Ivn Olier3, Alfredo Vellido4,
Margarida Juli-Sap2,5, Carles Ars1,2
1Grup
dAplicacions Biomdiques de la RMN (GABRMN), Departament de Bioqumica i
Biologia Molecular, Universitat Autnoma de Barcelona (UAB), Cerdanyola del
Valls, Barcelona, Spain; 2Centro de Investigacin Biomdica en
Red en Bioingeniera, Biomateriales y Nanomedicina (CIBER-BBN), Zaragoza,
Spain; 3Institut de Neurocincies (INc), Universitat Autnoma de
Barcelona (UAB), Cerdanyola del Valls, Barcelona, Spain; 4Departament
de Llenguatges i Sistemes Informtics (LSI), Universitat Politcnica de
Catalunya (UPC), Barcelona, Spain; 5Grup dAplicacions Biomdiques
de la RMN (GABRMN), Departament de Bioqumica i Biologia Molecular ,
Universitat Autnoma de Barcelona (UAB), Cerdanyola del Valls, Barcelona,
Spain
Spectral
Prototype Extraction (SPE) is a novel feature extraction technique, offering
the capability of creating spectral prototypes which correspond to known
metabolites or groups of metabolites. Experimental results for discriminating
glioblastomas from metastases in a SV 1H-MRS brain tumour database, for long
and short echo times shows the following: 1) Most of the prototypes
describing the dataset can be used as readily interpretable input features in
classifiers and 2) SPE-based classification yields results that are
comparable to those of PCA-based classification.