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Illustration of v<sub>e</sub> parameter estimation for very limited extravascular accessible volume.

By Mikkel B. Hansen (2326909), Anna Tietze (722027), Søren Haack (815693), Jesper Kallehauge (6172271), Irene K. Mikkelsen (5146652), Leif Østergaard (335985) and Kim Mouridsen (376878)

Abstract

<p>Panels A and B display the estimated 2XCM v<sub>e</sub> parameter maps for a ground truth 2CXM model with v<sub>e</sub> = 0. Panel C displays the number of severely overestimated voxels (defined as v<sub>e</sub> greater than five times the ground truth value or 0.1 for v<sub>e</sub> = 0) for the BM and LM methods at v<sub>e</sub> = 0 as a function of SNR. Panel D displays the number of severely overestimated voxels as a function of ground truth v<sub>e</sub> at SNR = 20.</p

Topics: Cell Biology, Genetics, Molecular Biology, Biotechnology, Cancer, Infectious Diseases, Mathematical Sciences not elsewhere classified, 19 glioma patients, DCE-MRI models Purpose, 2 CXM, LM technique, Bayesian parameter estimation scheme, v e values, ETM, DCE data, Bayesian scheme, pharmacokinetic models, performance, Bayesian method, tissue hemodynamic parameters, DCE MRI data
Year: 2019
DOI identifier: 10.1371/journal.pone.0209891.g003
OAI identifier: oai:figshare.com:article/7544456
Provided by: FigShare
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