Segmentation of Dynamic Total-Body [18F]-FDG PET Images Using Unsupervised Clustering

Segmentation of Dynamic Total-Body [18F]-FDG PET Images Using Unsupervised Clustering

Clustering time activity curves of PET images have been used to separate clinically relevant areas of the brain or tumours. However, PET image segmentation in multiorgan level is much less studied due to the available total-body data being limited to animal studies. Now, the new PET scanners providi...

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Bibliographic Details
Main Authors: Maria K. Jaakkola, Maria Rantala, Anna Jalo, Teemu Saari, Jaakko Hentilä, Jatta S. Helin, Tuuli A. Nissinen, Olli Eskola, Johan Rajander, Kirsi A. Virtanen, Jarna C. Hannukainen, Francisco López-Picón, Riku Klén
Format: Article
Language:English
Published: Wiley 2023-01-01
Series:International Journal of Biomedical Imaging
Online Access:http://dx.doi.org/10.1155/2023/3819587
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