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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...
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. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
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 |
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