This inventor holds 1 USPTO granted patent. Top assignee: Dalhousie University. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Ivan Romadanov and Adaptive Dual-Energy X-Ray Imaging
Introduction
Ivan Romadanov is an inventor associated with Dalhousie University in Halifax, Canada. His patent work addresses adaptive dual-energy X-ray imaging, using pre-calibrated weighting factors to improve material cancellation and noise reduction.
Latest Patents
Romadanov is credited with one patent: “Adaptive Dual-Energy X-Ray Imaging Using Pre-Calibrated Weighting Factors.” The method first calibrates a fitting model using high- and low-energy images of a step phantom. It identifies regions of interest containing overlapping materials, measures their average image intensities, and determines material-cancellation and noise-cancellation weighting factors for each material and region.
The calibrated model is then applied to images of a subject. It generates subject-specific weighting-factor maps, which are used with the high- and low-energy images to support adaptive material cancellation and noise reduction.
Career Highlights
Romadanov’s listed patent reflects work on adapting dual-energy imaging to the materials and conditions present in a particular subject. The approach combines phantom-based calibration with subject-specific weighting maps.
Collaborations
Romadanov’s listed coworker is Mike Sattarivand. His patent work is associated with Dalhousie University.
Conclusion
Ivan Romadanov’s patent describes an adaptive approach to dual-energy X-ray imaging that uses calibrated models and subject-specific weighting factors to address material cancellation and noise.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
