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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
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Updated: 3/10/2026
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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
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Synthesizing Big Data of High Quality without Privacy Leakage –Competitive Performance of Deep CT Denoising Networks Trained on Diffusion Model-generated Data
RPI ID:
2023-075-301
Innovation Summary:
This technology introduces systems and methods for synthesizing image data using super-resolution (SR) techniques. It leverages multiple low-resolution (LR) images to generate high-resolution (HR) outputs by extracting and combining fine-grained features across frames. The system is designed to enhance image...
Published: 3/10/2026
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Updated: 3/10/2026
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Inventor(s): Wenjun Xia, Yongyi Shi, Chuang Niu, Ge Wang
Keywords(s): Diffusion Models, Low-Dose CT, Privacy Protection
Category(s): Computational Science and Engineering
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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
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Updated: 3/10/2026
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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
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