Integrated PET/MR Imaging Using Synthetic MRI for Improved Stroke Lesion Characterization and Metabolism Prediction

Motivation: To explore synthetic MRI's potential for improved stroke lesion characterization and metabolic activity prediction. Goal(s): To Enhance stroke lesion visualization and to estimate regional metabolism via quantitative relaxation values in synthetic MRI. Approach: 10 stroke patients underwent integrated PET/MR scanning. We compared tissue contrast in synthetic tailored contrast-enhanced composite images with conventional T2 FLAIR. Relaxometry values were used to build predictive models for PET SUV. Results: Composite images significantly improved stroke lesion visibility compared to traditional methods. Relaxometry values successfully predicted metabolic activity within the lesion. Impact: This study demonstrates the potential of synthetic MRI in stroke patients, offering improved