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Abstract #3023

Multi-contrast MRI Enhance Ultra-low-dose PET Reconstruction

Junshen Xu1,2, Enhao Gong2,3, Mehdi Khalighi4, John Pauly2, and Greg Zaharchuk3

1Engineering Physics, Tsinghua University, Beijing, China, 2Electrical Engineering, Stanford University, Stanford, CA, United States, 3Radiology, Stanford University, Stanford, CA, United States, 4GE Healthcare, Menlo Park, CA, United States

Simultaneous PET/MRI is a powerful multimodality imaging technique for both anatomical and functional imaging. Here we propose a novel method for high-quality PET image reconstruction from ultra-low-dose (more than 99% reduction compared to current practice) PET scanning by using multi-contrast-MRI. A multi-scale fully convolutional network was developed for solving the reconstruction. The proposed method is compared with other methods on a Glioblastoma(GBM) clinical dataset. Results show that our method achieves superior image quality compared with state-of-the-art methods in low-dose PET reconstruction. Besides, quantitative and qualitative evaluations indicate that multi-contrast MRI significantly improves the reconstruction quality with better structural details.

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