High spatial and spectral resolution energy-spectral CT and optical dual-mode imaging systems and methods
By combining multi-band fluorescence data and multi-level X-ray projection data acquisition with tensor dictionary learning and photon transport forward model, the problem of insufficient resolution in CT and optical dual-mode imaging was solved, realizing high spatial and spectral resolution energy spectral CT and optical dual-mode imaging, and improving the spatial resolution and optical reconstruction capability of the imaged object.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- FOURTH MILITARY MEDICAL UNIVERSITY
- Filing Date
- 2024-11-11
- Publication Date
- 2026-05-26
AI Technical Summary
In existing dual-mode imaging technologies of CT and optics, CT has weak energy and spectral resolution, resulting in low soft tissue contrast in imaging. Furthermore, optical and CT image reconstructions are independent of each other, and spatial resolution needs to be improved.
By employing multi-band fluorescence data and fluorescence image acquisition, multi-level X-ray projection data acquisition, and combining 3D reconstruction based on tensor dictionary learning and photon transport forward model, data is acquired through a hyperspectral camera and X-ray energy spectrum detector. Wavelet transform is used for image fusion to achieve high spatial and spectral resolution energy spectrum CT and optical dual-mode imaging.
It improves the spatial and spectral resolution of dual-mode fusion images, enables precise decomposition of various structures or components of the imaged object, and enhances the spatial resolution and morphological resolution of optical imaging.
Smart Images

Figure CN119454068B_ABST