|
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
|
Updated: 3/10/2026
|
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
|
|
Patient-Specific Organ Dose Quantification and Optimization for CT
RPI ID: 2020-032-401
Innovation Summary:
A computational method enables quantification of organ-specific radiation dose during CT imaging and uses inverse optimization to adjust scan parameters accordingly. The system incorporates patient-specific anatomical models and dose-response data to guide personalized imaging protocols. It supports real-time...
Published: 3/10/2026
|
Updated: 3/10/2026
|
Inventor(s): Pingkun Yan, Birsen Yazici, Xie Xu
Keywords(s): AI workflow, Artificial Intelligence Radiology, Clinical Imaging, computed tomography (CT), CT dosimetry, CT Scanner, deep learning, Dosimetry, Imaging, medical imaging, Nuclear Medicine, Personalized Medicine, Radiology, X-Rays
Category(s): Biotechnology and the Life Sciences
|
|
Geometrical Errors Correction in Truncated Scans via Locally Linear Embedding with A Phase Correlation Metric
RPI ID:
2023-087-301
Innovation Summary:
This technology applies locally linear embedding (LLE) techniques to correct motion artifacts in computed tomography (CT) imaging. It models patient movement during scans and reconstructs accurate images by embedding motion data into the reconstruction algorithm. The system improves image clarity and diagnostic...
Published: 3/10/2026
|
Updated: 3/10/2026
|
Inventor(s): Ge Wang, Mengzhou Li
Keywords(s): computed tomography (CT), coordination error, Geometrical error, geometrical misalignment, Interior Tomography, locally linear embedding, motion compensation, motion estimation, robotic CT, truncated projections
Category(s): Biotechnology and the Life Sciences
|
|
Rapid Filtration Methods for Dual-energy X-ray CT
RPI ID: 2016-056-401, 2016-056-601, 2016-056-602, 2016-056-603Innovation Summary:This portfolio features a suite of advanced filtration technologies developed to enhance the performance of dual-energy X-ray computed tomography (DECT) systems. These innovations address key limitations in spectral separation, motion artifact reduction, and computational...
Published: 7/21/2025
|
Updated: 7/7/2025
|
Inventor(s): Wenxiang Cong, Yan Xi, Ge Wang
Keywords(s): Biomedical Engineering, computed tomography (CT), Diagnosis, Dual-energy X-ray CT, dual-layer x-ray detection, dual-source scanning, Imaging, kVp-switching, Measurement, Safety
Category(s): Biotechnology and the Life Sciences
|
|
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
|
