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Translation Based Low-end Computed Tomography
RPI ID: 2014-031-201Innovation Summary:This invention introduces a linear scanning architecture for computed tomography (CT) that eliminates the need for rotational gantries. The system uses linearly translating X-ray sources and detectors moving in opposite or near-opposite directions. This arrangement enables tomographic imaging in environments where...
Published: 7/21/2025
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Updated: 7/7/2025
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Inventor(s): Wenxiang Cong, Fenglin Liu, Ge Wang, Hengyong Yu
Keywords(s):
Category(s): Biotechnology and the Life Sciences
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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
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Updated: 7/7/2025
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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
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X-ray Phase-contrast and Dark-field Information Extraction with Electric Fringe Scanning and/or Active Pixel Processing
RPI ID: 2016-003-401Innovation Summary:This invention introduces a next-generation X-ray imaging system that extracts both phase-contrast and dark-field data without requiring mechanical grating translation. By integrating the analyzer grating (G2) functionality directly into the detector and controlling it electrically, the system eliminates the need...
Published: 7/21/2025
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Updated: 7/7/2025
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Inventor(s): Shuo Pang, Zaifeng Shi, Wenxiang Cong, Ge Wang
Keywords(s): image reconstruction, x-ray dark-field imaging, X-ray grating imaging, x-ray phase imaging
Category(s): Biotechnology and the Life Sciences
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Dual Network Architecture for Few-view CT – Trained on ImageNet Data and Transferred for Medical Imaging
RPI ID: 2020-001-401Innovation Summary:This invention introduces a deep learning-based system for reconstructing CT images from a limited number of views. The model is trained to infer missing projection data and generate high-quality images from sparse inputs. It significantly reduces radiation exposure while maintaining diagnostic accuracy. The system...
Published: 7/21/2025
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Updated: 7/3/2025
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Inventor(s): Ge Wang, Hongming Shan, Wenxiang Cong, Huidong Xie
Keywords(s): deep learning, Dual network architecture (DNA), few-view CT, generative adversarial network (GAN), machine-learning, sparse-view CT
Category(s): Biotechnology and the Life Sciences
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CT Super-resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble (GAN-CIRCLE)
RPI ID: 2019-005-201 / 2019-005-601Innovation Summary:This invention introduces a deep learning framework called GAN-Circle for super-resolution reconstruction in computed tomography (CT) imaging. The system is based on a generative adversarial network (GAN) architecture constrained by three synergistic learning strategies: identical mapping, residual...
Published: 7/21/2025
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Updated: 7/3/2025
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Inventor(s): Ge Wang, Chenyu You, Wenxiang Cong, Hongming Shan, Guang Li
Keywords(s): High-resolution CT image, Image super resolution, low-resolution CT image
Category(s): Computational Science and Engineering
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Novel Detection Scheme for X-ray Small-angle Scattering
RPI ID: 2018-011-401 / 2018-011-601Innovation Summary:This invention introduces a novel detection scheme for X-ray small angle scattering (SAXS) that enhances sensitivity and spatial resolution for nanoscale structural analysis. The system employs a specialized detector configuration and signal processing method to capture scattered X-rays with improved...
Published: 7/21/2025
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Updated: 7/3/2025
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Inventor(s): Ge Wang, Guang Li, Wenxiang Cong
Keywords(s):
Category(s): Biotechnology and the Life Sciences
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3D Convolutional Autoencoder for Low-dose CT via Transfer Learning from a 2D Trained Network
RPI ID: 2018-007-401Innovation Summary:This invention introduces a 3D convolutional autoencoder that enhances low-dose CT image quality by learning from high-quality 2D training data. The system leverages transfer learning to bridge the gap between 2D and 3D imaging, enabling efficient training and robust performance. It corrects artifacts and improves...
Published: 7/21/2025
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Updated: 7/3/2025
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Inventor(s): Ge Wang, Hongming Shan, Wenxiang Cong
Keywords(s):
Category(s): Biotechnology and the Life Sciences
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Monochromatic CT Image Reconstruction from Current-Integrating Data via Deep Learning
RPI ID: 2018-006-401, 2018-006-601Innovation Summary:Researchers at Rensselaer Polytechnic Institute have developed a pair of complementary deep learning technologies that transform how computed tomography (CT) imaging is performed and enhanced. The first system enables adaptive CT imaging by dynamically adjusting scan parameters in real time based...
Published: 7/21/2025
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Updated: 7/3/2025
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Inventor(s): Ge Wang, Wenxiang Cong
Keywords(s):
Category(s): Biotechnology and the Life Sciences
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Stationary In-vivo Grating-enabled Micro-CT Architecture (SIGMA)
RPI ID: 2018-013-401Innovation Summary:This invention introduces a stationary in-vivo grating-enabled micro-CT system, known as SIGMA. The architecture eliminates the need for mechanical rotation by using a fixed array of X-ray sources and detectors arranged in a circular geometry. Grating-based interferometry is integrated into the system to enhance...
Published: 7/21/2025
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Updated: 7/3/2025
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Inventor(s): Ge Wang, Qingsong Yang, Guang Li, Wenxiang Cong
Keywords(s):
Category(s): Biotechnology and the Life Sciences
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Simultaneous Emission-Transmission Tomography
RPI ID: 2017-028-401Innovation Summary:This invention presents a system for simultaneous emission and transmission imaging in PET/CT scanners. It features a rotating source and detector configuration that enables concurrent acquisition of PET and CT data. This design improves image registration, reduces scan time, and enhances workflow efficiency. The...
Published: 7/21/2025
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Updated: 7/3/2025
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Inventor(s): Ge Wang, Lars Gjesteby, Wenxiang Cong
Keywords(s): Biomedical Engineering, Diagnosis and treatment analysis of diseased tissue, medical imaging
Category(s): Biotechnology and the Life Sciences
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