Robust estimation of hemo-dynamic parameters in traditional DCE-MRI models

In dynamic contrast enhanced (DCE) MRI, separation of signal contributions from perfusion and leakage requires robust estimation of parameters in a pharmacokinetic model. We present and quantify the performance of a method to compute tissue hemodynamic parameters from DCE data using established phar...

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Veröffentlicht in:	PloS one Jg. 14; H. 1; S. e0209891
Hauptverfasser:	Hansen, Mikkel B., Tietze, Anna, Haack, Søren, Kallehauge, Jesper, Mikkelsen, Irene K., Østergaard, Leif, Mouridsen, Kim
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Public Library of Science 03.01.2019 Public Library of Science (PLoS)
Schlagworte:	Algorithms Analysis Bayes Theorem Bayesian analysis Blood Blood Volume Brain cancer Cancer therapies Cervical cancer Cervix Clinical medicine Computer simulation Contrast Media - pharmacokinetics Female Glioma Glioma - diagnostic imaging Health physics Hemodynamic monitoring Hemodynamics Hemodynamics - physiology Hospitals Humans Magnetic resonance imaging Magnetic Resonance Imaging - methods Magnetic Resonance Imaging - statistics & numerical data Male Mathematical models Measurement techniques Medical diagnosis Medical imaging Medicine Medicine and Health Sciences Neurosciences NMR Noise Nuclear magnetic resonance Parameter estimation Parameter identification Parameter robustness Patients Perfusion Pharmacokinetics Pharmacology Physical Sciences Physiology Reproducibility of Results Research and Analysis Methods Uterine Cervical Neoplasms Denmark Aarhus Denmark
ISSN:	1932-6203, 1932-6203
Online-Zugang:	Volltext
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