Quantification of Spatial Ventilation Defect Sparsity in Hyperpolarized Gas Magnetic Resonance Imaging of Lungs Utilizing a Three‐Dimensional Clustering Algorithm

ABSTRACT Hyperpolarized gas (HPG) magnetic resonance (MR) imaging allows for the quantification of pulmonary defects with the ventilation defect percentage (VDP). Although informative, VDPs lack information regarding the spatial distribution of defects. We developed a method of quantifying the focal...

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Veröffentlicht in:	NMR in biomedicine Jg. 38; H. 3; S. e70005 - n/a
Hauptverfasser:	García Delgado, Gabriela María, Shammi, Ummul Afia, Ruppel, Mia R., Altes, Talissa A., Mugler, John P., Meyer, Craig H., Qing, Kun, Lange, Eduard E., Mata, Jaime, Ruset, Iulian C., Hersman, F. W., Thomen, Robert P.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	England Wiley Subscription Services, Inc 01.03.2025
Schlagworte:	Adult Age Aged algorithm Algorithms Asthma Asthma - diagnostic imaging Asthma - physiopathology Chronic obstructive pulmonary disease Cluster Analysis Clustering Clustering Algorithms Correlation coefficient Correlation coefficients Defects Female gas Helium Humans hyperpolarized Imaging, Three-Dimensional Lung - diagnostic imaging Lung - physiopathology Lung diseases lungs Magnetic Resonance Imaging Male Middle Aged MRI Pulmonary Disease, Chronic Obstructive - diagnostic imaging Pulmonary Disease, Chronic Obstructive - physiopathology Pulmonary Ventilation Regression analysis Regression models Spatial distribution Statistical analysis Variance analysis Ventilation Young Adult hyperpolarized MRI defects ventilation gas lungs clustering algorithm
ISSN:	0952-3480, 1099-1492, 1099-1492
Online-Zugang:	Volltext
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