Validating the Utility of Supervised Clustering Algorithm for Precise [ 11 C]DPA-713 PET Brain Image Quantification

The reliance of quantitative PET imaging on the arterial input function makes brain PET challenging to perform in certain populations, limiting the sample size. To address this challenge, a supervised clustering algorithm (SVCA) has been introduced as an alternative. Our objective was to validate SV...

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Veröffentlicht in:	The Journal of nuclear medicine (1978) Jg. 66; H. 5; S. 764
Hauptverfasser:	Lee, Youjin, Nguyen, Thanh D, Du, Yong, Coughlin, Jennifer M, Zein, Sara A, Karakatsanis, Nicolas A, Nehmeh, Sadek, Pomper, Martin G, Gauthier, Susan A, Kang, Yeona
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States 01.05.2025
Schlagworte:	Adult Algorithms Brain - diagnostic imaging Carbon Radioisotopes Cluster Analysis Clustering Algorithms Female Humans Image Processing, Computer-Assisted - methods Male Middle Aged Positron-Emission Tomography - methods Pyrazoles Pyridines Pyrimidines Pyrrolidinones supervised clustering algorithm [11C]DPA-713 neuroinflammation multiple sclerosis PET
ISSN:	1535-5667
Online-Zugang:	Weitere Angaben
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