|
Deep learning for metal artifact reduction in computed tomography images
RPI ID: 2018-008-401, 2018-008-601Innovation Summary:This invention from Rensselaer Polytechnic Institute introduces a deep learning-based framework for reducing metal artifacts in computed tomography (CT) images. The system leverages a neural network trained on paired CT datasets—with and without metal artifacts—to reconstruct high-fidelity images...
Published: 7/21/2025
|
Updated: 7/3/2025
|
Inventor(s): Ge Wang, Lars Gjesteby, Qingsong Yang, Hongming Shan
Keywords(s): computed tomography (CT), deep learning, machine-learning, metal artifact reduction
Category(s): Biotechnology and the Life Sciences
|
