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A Synergized Pulsing-Imaging Network (SPIN)
RPI ID: 2018-029-401Innovation Summary:This invention introduces a synergized pulsing-imaging network (SPIN) that jointly optimizes MRI pulse sequences and image reconstruction. The system uses a deep learning framework to co-train the pulse generation and image reconstruction modules, improving image quality and acquisition efficiency. It adapts to...
Published: 7/21/2025
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Updated: 7/3/2025
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Inventor(s): Ge Wang, Qing Lyu, Tao Xu
Keywords(s): deep learning, machine-learning, medical imaging
Category(s): Biotechnology and the Life Sciences
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Training a CNN with pseudo ground truth for CT metal artifact reduction
RPI ID: 2018-021-201 / 2018-021-601Innovation Summary:This invention introduces a method for training convolutional neural networks (CNNs) to reduce artifacts in CT images using pseudo ground truth data. The system includes an estimated ground truth generator that produces reference images from artifact-laden scans, enabling the CNN to learn artifact...
Published: 7/21/2025
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Updated: 7/3/2025
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Inventor(s): Ge Wang, Lars Gjesteby, Hongming Shan
Keywords(s): Biomedical Engineering, machine-learning, medical imaging
Category(s): Computational Science and Engineering
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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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