Prostate Diffusion Weighted-Magnetic Resonance Image analysis using Multivariate Curve Resolution methods

[EN] Multivariate Curve Resolution (MCR) has been applied on prostate Diffusion Weighted-Magnetic Resonance Images (DW-MRI). Different physiological-based modeling approaches of the diffusion process have been submitted to validation by sequentially incorporating prior knowledge on the MCR constrain...

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Detalles Bibliográficos
Autores: Aguado Sarrió, Eric, Sanz Requena, Roberto, Marti Bonmati, Luis, Alberich Bayarri, Ángel, Prats-Montalbán, José Manuel|||0000-0001-6294-4486, Ferrer, Alberto|||0000-0001-7244-5947
Tipo de recurso: artículo
Fecha de publicación:2015
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:10251/64901
Acceso en línea:https://riunet.upv.es/handle/10251/64901
Access Level:acceso abierto
Palabra clave:Multivariate Image Analysis
Diffusion
MCR
Magnetic resonance
Prostate
Tumor
ESTADISTICA E INVESTIGACION OPERATIVA
Descripción
Sumario:[EN] Multivariate Curve Resolution (MCR) has been applied on prostate Diffusion Weighted-Magnetic Resonance Images (DW-MRI). Different physiological-based modeling approaches of the diffusion process have been submitted to validation by sequentially incorporating prior knowledge on the MCR constraints. Results validate the biexponential diffusion modeling approach and show the capability of the MCR models to find, characterize and locate the behaviors related to the presence of an early prostate tumor.

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