Prostate functional magnetic resonance image analysis using multivariate curve resolution methods

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 asse...

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Detalles Bibliográficos
Autores: Prats-Montalbán, José Manuel|||0000-0001-6294-4486, Ferrer, Alberto|||0000-0001-7244-5947, Sanz Requena, Roberto, Marti Bonmati, Luis
Tipo de recurso: artículo
Fecha de publicación:2014
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/60812
Acceso en línea:https://riunet.upv.es/handle/10251/60812
Access Level:acceso abierto
Palabra clave:Multivariate image analysis
MCR
SIMPLISMA
EFA
DCE-MR
pharmacokinetics
perfusion
prostate
tumor
biomarker
ESTADISTICA E INVESTIGACION OPERATIVA
Descripción
Sumario: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.

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