A Method to Automate the Metabolite Postprocessing and Quantification on Magnetic Resonance Spectroscopy Signals
Por:
López-Caracheo F., Perez-Ramírez C.A., Hernández-Medina A., Mercadillo-Caballero R.E., Pasaye-Alcaraz E.H.
Publicada:
1 ene 2020
Resumen:
In this paper, an automatic method to process and quantify the metabolites of a magnetic resonance spectroscopy signal is presented. Signals obtained from a region of the left thalamus were analyzed. The obtained results were compared with the ones obtained using a Phillips’ commercial magnetic resonance software. Three features of the signal corresponding to five different metabolites (NAA, Cr, Cho, Glx, Cr2) were obtained: width, height and area of the curve corresponding to each peak. The obtained results showed a maximum relative error of over 20%, indicating the potential that the proposal has. Further refinements are required to reduce the error. © 2020, Springer Nature Switzerland AG.
Filiaciones:
López-Caracheo F.:
Universidad Autónoma de Querétaro, Querétaro, Qro., Mexico
Perez-Ramírez C.A.:
Universidad Autónoma de Querétaro, Querétaro, Qro., Mexico
Hernández-Medina A.:
Universidad Autónoma de Querétaro, Querétaro, Qro., Mexico
Universidad Autónoma Metropolitana – Iztapalapa, Mexico City, Mexico
Mercadillo-Caballero R.E.:
Universidad Autónoma Metropolitana – Iztapalapa, Mexico City, Mexico
Pasaye-Alcaraz E.H.:
Unidad de Resonancia Magnética – UNAM, Juriquilla, Qro., Mexico
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