|
Nanoparticle-enabled X-ray Magnetic Resonance Imaging (NXMR)
RPI ID:
2014-052-401
Innovation Summary:
NXMRI combines X‑ray excitation of nanoparticles with MRI readout to localize contrast agents by monitoring changes in resonance parameters (T1/T2/T2*) induced by excitation. Nanoparticles (e.g., nanophosphors) embedded in tissue are energized by X‑rays or UV, altering their local magnetic environment. An MRI...
Published: 3/10/2026
|
Updated: 3/10/2026
|
Inventor(s): Wenxiang Cong, Matthew Getzin, Lars Gjesteby, Ge Wang
Keywords(s): Automated Shading, Blinds, Coatings\Adhesive Technology, Daylight Filter, Daylight Harvesting, Daylight Management, Electrical Engineering, Energy Management, Lighting & Illumination Technology, Louvers, Material Sciences\Engineering, Mechanical Shading, Optoelectronics Systems, Passive Filter, Photocromic, Shades
Category(s): Biotechnology and the Life Sciences
|
|
A robotic-arm Based Clinical Micro-CT Design for Inner Ear Imaging
RPI ID: 2021-022-201
Innovation Summary:
A robotic arm-mounted micro-CT system enables flexible, high-resolution imaging in clinical environments. The system uses a compact X-ray source and detector mounted on a robotic manipulator to scan anatomical regions with precision. It supports dynamic positioning and patient-specific imaging protocols. The...
Published: 3/10/2026
|
Updated: 3/10/2026
|
Inventor(s): Mengzhou Li, Zheng Fang, Wenxiang Cong, Ge Wang
Keywords(s): Clinical Micro-CT, deep learning, Inner Ear Imaging, Interior Tomography, photon-counting detector, Robotic Arms
Category(s): Media, Arts, Science and Technology
|
|
Low-dimensional manifold constrained disentanglement network for metal artifact reduction in CT images
RPI ID: 2020-111-201
Innovation Summary:
A deep learning network is designed to reduce metal artifacts in CT imaging by constraining feature disentanglement within a low-dimensional manifold. The model separates anatomical structures from artifact-induced distortions, improving image clarity. It is trained on synthetic and real-world datasets and supports...
Published: 3/10/2026
|
Updated: 3/10/2026
|
Inventor(s): Chuang Niu, Wenxiang Cong, Ge Wang
Keywords(s): disentanglement network, low-dimensional manifold model (LDMM), metal artifact reduction, unpaired learning
Category(s): Computational Science and Engineering
|
|
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
|
Updated: 3/10/2026
|
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
|
|
Parallelizing the Diffusion Model for Breast CT Image Reconstruction from Sparse Cone-beam Projections
RPI ID:
2023-078-301
Innovation Summary:
This technology introduces a tomographic image reconstruction system that leverages parallel denoising diffusion probabilistic models (DDPMs) to recover high-quality images from sparse projection data. The system uses a probabilistic framework to iteratively refine image estimates, enabling accurate reconstructions...
Published: 3/10/2026
|
Updated: 3/10/2026
|
Inventor(s): Wenjun Xia, Chuang Niu, Wenxiang Cong, Ge Wang
Keywords(s): Breast CT, deep reconstruction, denoising diffusion probabilistic model (DDPM), distributed computing, dual domain, parallel computing, sub-volume
Category(s): Computational Science and Engineering
|
|
Patch-Based Denoising Diffusion Probabilistic Model for Sparse-View CT Reconstruction
RPI ID:
2023-022-301, 2023-022-401
Innovation Summary:
This technology provides a full tomographic data estimation system that reconstructs complete tomographic datasets from sparse inputs. It includes preprocessing circuitry that divides sparse data into N subsets, parallel estimation circuitry that reconstructs each subset using a trained score model,...
Published: 3/10/2026
|
Updated: 3/10/2026
|
Inventor(s): Wenjun Xia, Wenxiang Cong, Ge Wang
Keywords(s): high-resolution cone-beam CT, patch-based denoising diffusion probabilistic model, Sparse-view CT reconstruction
Category(s): Computational Science and Engineering
|
|
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: 9/4/2025
|
Updated: 9/4/2025
|
Inventor(s): Wenxiang Cong, Fenglin Liu, Ge Wang, Hengyong Yu
Keywords(s):
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
|
|
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
|
Updated: 7/7/2025
|
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
|
|
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
|
Updated: 7/3/2025
|
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
|
