Bayesian modeling of Dynamic Contrast Enhanced MRI data in cerebral glioma patients improves the diagnostic quality of hemodynamic parameter maps.

Bayesian modeling of Dynamic Contrast Enhanced MRI data in cerebral glioma patients improves the diagnostic quality of hemodynamic parameter maps.

PURPOSE:The purpose of this work is to investigate if the curve-fitting algorithm in Dynamic Contrast Enhanced (DCE) MRI experiments influences the diagnostic quality of calculated parameter maps. MATERIAL AND METHODS:We compared the Levenberg-Marquardt (LM) and a Bayesian method (BM) in DCE data of...

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Bibliographic Details
Main Authors: Anna Tietze, Anne Nielsen, Irene Klærke Mikkelsen, Mikkel Bo Hansen, Annette Obel, Leif Østergaard, Kim Mouridsen
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2018-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC6157834?pdf=render

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http://europepmc.org/articles/PMC6157834?pdf=render

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