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Dynamic MRI Super-Resolution through Deep Learning
RPI ID: 2020-029-201
Innovation Summary:
A deep learning-based system is developed to reduce motion artifacts in dynamic imaging sequences. The model uses temporal and spatial features to identify and correct distortions caused by patient movement. It is applicable to modalities such as MRI and CT, where motion can compromise diagnostic accuracy. The...
Published: 3/10/2026
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Updated: 3/10/2026
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Inventor(s): Qing Lyu, Hongming Shan, Ge Wang
Keywords(s): deep learning, dynamic cardiac imaging, magnetic resonance imaging (MRI), super-resolution
Category(s): Biotechnology and the Life Sciences
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