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Stationary Multi-source AI-powered Real-time Tomography (SMART) for Dynamic Cardiac Imaging
RPI ID: 2022-011-201
Innovation Summary:
The SMART system uses 29 fixed source-detector pairs arranged on a circular track to perform real-time tomography without mechanical rotation. AI algorithms reconstruct high-resolution 3D images from simultaneous multi-angle data. This architecture improves temporal resolution and reduces wear compared to rotating...
Published: 3/10/2026
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Updated: 3/10/2026
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Inventor(s): Weiwen Wu, Yan Xi, Ge Wang
Keywords(s): cardiac Imaging, computed tomography (CT), deep learning, image reconstruction, Multi-Source, preclinical imaging, real-time
Category(s): Computational Science and Engineering
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AI Enables Ultra-Low-Dose CT Reconstruction
RPI ID: 2021-072-401
Innovation Summary:
AI-enabled ultra-low-dose CT reconstruction systems use deep learning to restore image quality from low-radiation scans. The models are trained on paired datasets to enhance resolution and contrast while minimizing noise. This approach allows for safer imaging without compromising diagnostic accuracy. It is...
Published: 3/10/2026
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Updated: 3/10/2026
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Inventor(s): Mannudeep Kalra, Chuang Niu, Hengyong Yu, Shadi Ebrahimian, Weiwen Wu, Ge Wang
Keywords(s): deep learning, Deep Tomographic Reconstruction, Few-view, Ultra-low-dose
Category(s): Computational Science and Engineering
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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
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Updated: 3/10/2026
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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
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