Prostate functional magnetic resonance image analysis using multivariate curve resolution methods

Autores UPV
Año
Revista Journal of Chemometrics

Abstract

This paper discusses the potential of Multivariate Curve Resolution (MCR) models to extract physiological dynamics behaviors from Dynamic Contrast Enhanced Magnetic Resonance (DCE-MR) Imaging prostate perfusion studies for cancer diagnosis. A relationship with biomarkers (¿hidden¿ parameters for assessing the possible existence of a tumor) from pharmacokinetic models is also studied.