Cargando…
Brain metabolic pattern analysis using a magnetic resonance spectra classification software in experimental stroke
BACKGROUND: Magnetic resonance spectroscopy (MRS) provides non-invasive information about the metabolic pattern of the brain parenchyma in vivo. The SpectraClassifier software performs MRS pattern-recognition by determining the spectral features (metabolites) which can be used objectively to classif...
Autores principales: | Jiménez-Xarrié, Elena, Davila, Myriam, Candiota, Ana Paula, Delgado-Mederos, Raquel, Ortega-Martorell, Sandra, Julià-Sapé, Margarida, Arús, Carles, Martí-Fàbregas, Joan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5237280/ https://www.ncbi.nlm.nih.gov/pubmed/28086802 http://dx.doi.org/10.1186/s12868-016-0328-x |
Ejemplares similares
-
SpectraClassifier 1.0: a user friendly, automated MRS-based classifier-development system
por: Ortega-Martorell, Sandra, et al.
Publicado: (2010) -
Improving the classification of brain tumors in mice with perturbation enhanced (PE)-MRSI
por: Simões, Rui V, et al.
Publicado: (2010) -
Robust Conditional Independence maps of single-voxel Magnetic Resonance Spectra to elucidate associations between brain tumours and metabolites
por: Casaña-Eslava, Raúl Vicente, et al.
Publicado: (2020) -
Non-negative matrix factorisation methods for the spectral decomposition of MRS data from human brain tumours
por: Ortega-Martorell, Sandra, et al.
Publicado: (2012) -
From raw data to data-analysis for magnetic resonance spectroscopy – the missing link: jMRUI2XML
por: Mocioiu, Victor, et al.
Publicado: (2015)