CT reconstruction engine for low-dose targeted imaging
This technology improves CT scanning by reconstructing high-quality images of a specific region of interest inside a patient's body using only a limited set of X-ray data — rather than requiring a full scan of the entire body. It works by mathematically combining partial X-ray measurements with a small amount of known tissue density information from within the target region to fill in the gaps. The result is accurate, detailed imaging of, say, a tumor or organ, while exposing the patient to significantly less radiation. A parallel version of the method uses multiple X-ray sources simultaneously, enabling much faster image capture.
What you could build
A software reconstruction engine licensed to CT scanner manufacturers or integrated into imaging workstations that enables low-dose, high-resolution targeted scans; buyers would be medical device OEMs like Siemens Healthineers, GE HealthCare, or Canon Medical, as well as interventional radiology platform vendors.
Who in Virginia should care
Defense and government medical imaging contractors in Northern Virginia, or university medical centers like UVA Health and Inova, could apply this in low-dose CT protocol development.
Readiness: Lab validated
Concept — described but not yet demonstrated. Lab validated — supported by experimental results in the patent. Prototype likely — the text describes a built, working embodiment.
Readiness is inferred from the patent text, not from a lab visit.
The record
- Inventors
- Ge Wang, Yangbo Ye, Hengyong Yu
- Granted
- April 13, 2010
- Status
- Granted patent
- Patent number
- 7697658
Ready to talk?
Virginia Tech Intellectual Properties handles licensing for this technology.
Prosim summaries are generated from public patent text and are not legal advice.