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Abstract #2304

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

Bixiao Cui1,2, Yifei Zhang3, Yi Shan1, Hongwei Yang1, and Jie Lu1
1Department of Radiology and Nuclear Medicine, Xuanwu Hospital Capital Medical University, Beijing, China, 2Institute of High Energy Physics, CAS, Beijing, China, 3GE Healthcare, MR Research China, Beijing, China

Synopsis

Keywords: Stroke, Stroke

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

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Keywords