Unsupervised clustering algorithms improve the reproducibility of dynamic contrast-enhanced magnetic resonance imaging pulmonary perfusion quantification in muco-obstructive lung diseases

BACKGROUND: Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) allows the assessment of pulmonary perfusion, which may play a key role in the development of muco-obstructive lung disease. One problem with quantifying pulmonary perfusion is the high variability of metrics. Quantifying the...

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Detalles Bibliográficos
Autores principales: Konietzke, Marilisa, Triphan, Simon M. F., Eichinger, Monika, Bossert, Sebastian, Heller, Hartmut, Wege, Sabine, Eberhardt, Ralf, Puderbach, Michael U., Kauczor, Hans-Ulrich, Heußel, Gudula, Heußel, Claus P., Risse, Frank, Wielpütz, Mark O.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9637664/
https://www.ncbi.nlm.nih.gov/pubmed/36353218
http://dx.doi.org/10.3389/fmed.2022.1022981

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9637664/
https://www.ncbi.nlm.nih.gov/pubmed/36353218
http://dx.doi.org/10.3389/fmed.2022.1022981

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