Evaluating AI-aided approaches for 18F-FDG PET quantification: Indirect synthetic MR-based versus direct partial volume correction

Compatible deployment of AI-aided methods for PET quantification is an important prerequisite to maximizing their benefits. We focus on partial volume correction (PVC), which can substantially improve the precision of radiotracer uptake quantification in brain PET for intricate and atrophic regions....

תיאור מלא

מידע ביבליוגרפי

Principais autores:	Yu Jin Seol, Hye Bin Yoo, Eun Jin Yoon, Yu Kyeong Kim, Seongho Seo, Jae Sung Lee
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	Elsevier 2026-03-01
סדרה:	NeuroImage
נושאים:	Brain PET 18F-FDG PET Partial volume correction Cross-modality image synthesis Generative AI architectures Denoising diffusion probabilistic model
גישה מקוונת:	http://www.sciencedirect.com/science/article/pii/S1053811926000741
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