May 7, 2024, 4:48 a.m. | Minhui Yu, Mengqi Wu, Ling Yue, Andrea Bozoki, Mingxia Liu

cs.CV updates on arXiv.org arxiv.org

arXiv:2405.02504v1 Announce Type: cross
Abstract: Magnetic resonance imaging (MRI) and positron emission tomography (PET) are increasingly used in multimodal analysis of neurodegenerative disorders. While MRI is broadly utilized in clinical settings, PET is less accessible. Many studies have attempted to use deep generative models to synthesize PET from MRI scans. However, they often suffer from unstable training and inadequately preserve brain functional information conveyed by PET. To this end, we propose a functional imaging constrained diffusion (FICD) framework for 3D …

abstract analysis arxiv brain clinical cs.cv deep generative models diffusion eess.iv functional generative generative models imaging mri multimodal pet studies synthesis type while

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