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Stabilizing Deep Tomographic Reconstruction Networks
RPI ID: 2021-007-201 Innovation Summary: A hybrid image reconstruction system combines model-based and data-driven techniques to improve image quality across modalities. The architecture integrates physics-informed priors with deep learning algorithms to reduce noise and artifacts. It supports real-time processing and is adaptable to CT, MRI, and PET...
Published: 3/10/2026   |   Inventor(s): Weiwen Wu, Wenxiang Cong, Hengyong Yu, Ge Wang
Keywords(s): analytic reconstruction, compressed sensing, deep learning, iterative reconstruction, tomographic imaging
Category(s): Computational Science and Engineering