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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Vydané v:	The Journal of nuclear medicine (1978) Ročník 66; číslo 5; s. 764
Hlavní autori:	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
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States 01.05.2025
Predmet:	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
On-line prístup:	Zistit podrobnosti o prístupe
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