DIReCT++ synthesizes high-fidelity 18F-AV-45 and 18F-FDG PET images from MRI using a domain-informed rectified flow model modulated by BiomedCLIP, enabling precise MCI stratification when combined with MRI.
Applications of generative adversarialnetworks(GANs)inpositronemissiontomography(PET)imaging:Areview.Eur.J.Nucl.Med.Mol.Imaging,49(11):3717–3739
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Precision Synthesis of Multi-Tracer PET via VLM-Modulated Rectified Flow for Stratifying Mild Cognitive Impairment
DIReCT++ synthesizes high-fidelity 18F-AV-45 and 18F-FDG PET images from MRI using a domain-informed rectified flow model modulated by BiomedCLIP, enabling precise MCI stratification when combined with MRI.