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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Bibliographic Details
Authors: 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
Format: Article
Publication date:2015
Country:España
Institution:Universitat Politècnica de València (UPV)
Repository:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Language:English
OAI Identifier:oai:riunet.upv.es:10251/64901
Online Access:https://riunet.upv.es/handle/10251/64901
Access Level:Open access
Keyword:Multivariate Image Analysis
Diffusion
MCR
Magnetic resonance
Prostate
Tumor
ESTADISTICA E INVESTIGACION OPERATIVA
Description
Summary:[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.