SEGMENTATION OF DYNAMIC TOTAL-BODY -FDG PET IMAGES USING UNSUPERVISED CLUSTERING
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 R. Lopez‐Picon, Riku Klén
This study evaluates unsupervised clustering methods for segmenting dynamic total-body PET images at the organ level, finding that k-means with PCA performs best but still has limited accuracy.
International Journal of Biomedical Imaging · Dec 5, 2023Peer-reviewedBioinformatics